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ORCIDCoRR, December 2025
Volume 2025-01, January 2025
- Alba Cabrera-Codony, Abel Valverde, K. Born, O. A. I. Noreldin, Tim G. Myers:
Mathematical modelling of flow and adsorption in a gas chromatograph. - Alejandro Mata Ali, Edgar Mencia:
A QUBO Formulation for the Generalized Takuzu/LinkedIn Tango Game. - Ben Welsh, Naitian Zhou, Arda Kaz, Michael Vu, Alexander Spangher:
NewsHomepages: Homepage Layouts Capture Information Prioritization Decisions. - Stepan Margaryan:
Special Coverings of Sets and Boolean Functions. - Juliana Gerard, Sahajpreet Singh, Morgan Macleod, Michael McKay, Antoine Rivoire, Tanmoy Chakraborty, Muskaan Singh:
AI Across Borders: Exploring Perceptions and Interactions in Higher Education. - Linqin Wang, Yaping Liu, Zhengtao Yu, Shengxiang Gao, Cunli Mao, Yuxin Huang, Wenjun Wang, Ling Dong:
SECodec: Structural Entropy-based Compressive Speech Representation Codec for Speech Language Models. - Junchao Chen, Suyash Gupta, Daniel P. Hughes, Mohammad Sadoghi:
Did we miss P In CAP? Partial Progress Conjecture under Asynchrony. - Pranav Gupta:
A Breadth-First Catalog of Text Processing, Speech Processing and Multimodal Research in South Asian Languages. - Jiapeng Xu:
Underutilization of Syntactic Processing by Chinese Learners of English in Comprehending English Sentences, Evidenced from Adapted Garden-Path Ambiguity Experiment. - Karthik S. Vedula, Annika Gupta, Akshay Swaminathan, Iván López, Suhana Bedi, Nigam H. Shah:
Distilling Large Language Models for Efficient Clinical Information Extraction. - Dibakar Gope, David Mansell, Danny Loh, Ian Bratt:
Highly Optimized Kernels and Fine-Grained Codebooks for LLM Inference on Arm CPUs. - Yuanbo Hou, Qiaoqiao Ren, Wenwu Wang, Dick Botteldooren:
Sound-Based Recognition of Touch Gestures and Emotions for Enhanced Human-Robot Interaction. - Krisvarish V, Priyadarshini T, K. P. Abhishek Sri Saai, Vaidehi Vijayakumar:
Resource-Efficient Transformer Architecture: Optimizing Memory and Execution Time for Real-Time Applications. - Saughmon Boujkian:
Cross-Linguistic Examination of Machine Translation Transfer Learning. - Juncheng Jiang, Dongdong Wan, Mengqi Zhang:
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning. - Aidan H. Chadha:
Stroke Prediction using Clinical and Social Features in Machine Learning. - Lamya Benaddi, Charaf Ouaddi, Adnane Souha, Abdeslam Jakimi, Mohamed Rahouti, Mohammed Aledhari, Diogo Oliveira, Brahim Ouchao:
Seq2Seq Model-Based Chatbot with LSTM and Attention Mechanism for Enhanced User Interaction. - Fernando Martinez-Lopez, Lesther Santana, Mohamed Rahouti:
Learning in Multiple Spaces: Few-Shot Network Attack Detection with Metric-Fused Prototypical Networks. - Yu-Zheng Lin, Qinxuan Shi, Zhanglong Yang, Banafsheh Saber Latibari, Sicong Shao, Soheil Salehi, Pratik Satam:
DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework. - Nianli Peng, Yilin Wang:
Efficient and Scalable Deep Reinforcement Learning for Mean Field Control Games. - Mengnan Zhao, Lihe Zhang, Xingyi Yang, Tianhang Zheng, Baocai Yin:
AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors. - Miao Yu, Junfeng Fang, Yingjie Zhou, Xing Fan, Kun Wang, Shirui Pan, Qingsong Wen:
LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models. - Mohamed R. Ibrahim, Terry J. Lyons:
Transforming CCTV cameras into N2 sensors at city scale for adaptive policymaking. - Witold Wydmanski, Ulvi Movsum-zada, Jacek Tabor, Marek Smieja:
VisTabNet: Adapting Vision Transformers for Tabular Data. - Ziye Chen, Hao Qi:
Large Language Models for Mathematical Analysis. - Zhengqi Xu, Han Zheng, Jie Song, Li Sun, Mingli Song:
Training-free Heterogeneous Model Merging. - James P. Beno:
ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis. - Guangming Che:
"Generative Models for Financial Time Series Data: Enhancing Signal-to-Noise Ratio and Addressing Data Scarcity in A-Share Market. - Shijia Ge, Weixiang Zhang, Shuzhao Xie, Baixu Yan, Zhi Wang:
Lungmix: A Mixup-Based Strategy for Generalization in Respiratory Sound Classification. - Xi Chen, Yu Ji, Cong Xia, Wen Wu:
Predicting Preschoolers' Externalizing Problems with Mother-Child Interaction Dynamics and Deep Learning. - Bohdan Turbal, Anastasiia Mazur, Jiaxu Zhao, Mykola Pechenizkiy:
On Adversarial Robustness of Language Models in Transfer Learning. - G. Belokrylov, A. Korenev, B. Lodonova, A. Novokhrestov:
Ensemble of classifiers for speech evaluation. - Chiyu Cheng, Chang Zhou, Yang Zhao, Jin Cao:
Dynamic Optimization of Storage Systems Using Reinforcement Learning Techniques. - Arinbjörn Kolbeinsson, Benedikt Kolbeinsson:
Adversarial Negotiation Dynamics in Generative Language Models. - Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka:
ICLR: In-Context Learning of Representations. - Hefei Li, Chao Peng, Chenyang Xu, Zhengfeng Yang:
Open-Book Neural Algorithmic Reasoning. - Chunsheng Zuo, Pavel Guerzhoy, Michael Guerzhoy:
Position Information Emerges in Causal Transformers Without Positional Encodings via Similarity of Nearby Embeddings. - Steve Mann, Martin Cooper, Bran Ferren, Thomas M. Coughlin, Paul Travers:
Advancing Technology for Humanity and Earth (+Water+Air). - Jungsik Hwang, Ahmadreza Ahmadi:
A Novel Framework for Learning Stochastic Representations for Sequence Generation and Recognition. - Niels Justesen, Maria Kaselimi, Sam Snodgrass, Miruna Vozaru, Matthew Schlegel, Jonas Wingren, Gabriella A. B. Barros, Tobias Mahlmann, Shyam Sudhakaran, Wesley Kerr, Albert Wang, Christoffer Holmgård, Georgios N. Yannakakis, Sebastian Risi, Julian Togelius:
Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors. - Ehsan Latif, Ying Chen, Xiaoming Zhai, Yue Yin:
Human-Centered Design for AI-based Automatically Generated Assessment Reports: A Systematic Review. - Yuan-Hao Jiang, Ruijia Li, Yizhou Zhou, Changyong Qi, Hanglei Hu, Yuang Wei, Bo Jiang, Yonghe Wu:
AI Agent for Education: von Neumann Multi-Agent System Framework. - Krish Jain, Joann Sum, Pranav Kapoor, Amir Eaman:
Machine Learning-Based Security Policy Analysis. - Mourad Heddaya, Kyle MacMillan, Anup Malani, Hongyuan Mei, Chenhao Tan:
CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions. - Yoav HaCohen, Nisan Chiprut, Benny Brazowski, Daniel Shalem, Dudu Moshe, Eitan Richardson, Eran Levin, Guy Shiran, Nir Zabari, Ori Gordon, Poriya Panet, Sapir Weissbuch, Victor Kulikov, Yaki Bitterman, Zeev Melumian, Ofir Bibi:
LTX-Video: Realtime Video Latent Diffusion. - Jingwen Tan, Gopi Krishnan Rajbahadur, Zi Li, Xiangfu Song, Jianshan Lin, Dan Li, Zibin Zheng, Ahmed E. Hassan:
LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance. - Jihan Ghanim, Mariette Awad:
An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework. - Andrea Giusti:
Modelling and Control of Spatial Behaviours in Multi-Agent Systems with Applications to Biology and Robotics. - Luís Cunha, Mário Medina:
Binary Jumbled Indexing: Suffix tree histogram. - Max Asselmeier, Ye Zhao, Patricio A. Vela:
Steppability-informed Quadrupedal Contact Planning through Deep Visual Search Heuristics. - Yixian Shen, Hang Zhang, Yanxin Shen, Lun Wang, Chuanqi Shi, Shaoshuai Du, Yiyi Tao:
AltGen: AI-Driven Alt Text Generation for Enhancing EPUB Accessibility. - Xiaozhou You, Jian Zhang:
Text-to-Image GAN with Pretrained Representations. - Haitao Wang, Yiming Zhao:
Dynamic Unit-Disk Range Reporting. - Jiaojiao Ye, Zhen Wang, Linnan Jiang:
PQD: Post-training Quantization for Efficient Diffusion Models. - Lohith Senthilkumar, Tim Menzies:
Can Large Language Models Improve SE Active Learning via Warm-Starts? - Julia Ive, Paulina Bondaronek, Vishal Yadav, Daniel Santel, Tracy A. Glauser, Tina Cheng, Jeffrey R. Strawn, Greeshma A. Agasthya, Jordan Tschida, Sanghyun Choo, Mayanka Chandrashekar, Anuj J. Kapadia, John Pestian:
A Data-Centric Approach to Detecting and Mitigating Demographic Bias in Pediatric Mental Health Text: A Case Study in Anxiety Detection. - Taniya Das, Louis Mahon, Thomas Lukasiewicz:
Detection-Fusion for Knowledge Graph Extraction from Videos. - Uros Mlakar, Iztok Fister Jr., Iztok Fister:
NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines. - Jeremy Klotz, Shree K. Nayar:
Minimalist Vision with Freeform Pixels. - Art B. Owen:
Error estimation for quasi-Monte Carlo. - Jiayu Song, Mahmud Elahi Akhter, Dana Atzil-Slonim, Maria Liakata:
Temporal reasoning for timeline summarisation in social media. - Bernardo Subercaseaux, Marcelo Arenas, Kuldeep S. Meel:
Probabilistic Explanations for Linear Models. - Kleanthis Malialis, Nefeli Mavri, Stelios G. Vrachimis, Marios S. Kyriakou, Demetrios G. Eliades, Marios M. Polycarpou:
Urban Water Consumption Forecasting Using Deep Learning and Correlated District Metered Areas. - David Goll, Jobst Heitzig, Wolfram Barfuss:
Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations. - Clément Dallard, Maël Dumas, Claire Hilaire, Anthony Perez:
Sufficient conditions for polynomial-time detection of induced minors. - Akul Goyal, Carl Edwards:
Class-based Subset Selection for Transfer Learning under Extreme Label Shift. - Subramaniam Vincent, Phoebe Wang, Zhan Shi, Sahas Koka, Yi Fang:
Measuring Large Language Models Capacity to Annotate Journalistic Sourcing. - Ben McClusky:
Dynamic Graph Communication for Decentralised Multi-Agent Reinforcement Learning. - Costas Kravaris:
On Functional Observability of Nonlinear Systems and the Design of Functional Observers with Assignable Error Dynamics. - Mykola Maslych, Christian Pumarada, Amirpouya Ghasemaghaei, Joseph J. LaViola Jr.:
Takeaways from Applying LLM Capabilities to Multiple Conversational Avatars in a VR Pilot Study. - Nick Papoulias:
DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments. - Hongrui Shi, Valentin Radu, Po Yang:
Federated Learning with Workload Reduction through Partial Training of Client Models and Entropy-Based Data Selection. - Marco Siino, Ilenia Tinnirello, Marco La Cascia:
The Text Classification Pipeline: Starting Shallow going Deeper. - Céline Vanini, Jan Gruber, Christopher Hargreaves, Zinaida Benenson, Felix C. Freiling, Frank Breitinger:
Strategies and Challenges of Timestamp Tampering for Improved Digital Forensic Event Reconstruction (extended version). - Amirhossein Nadiri, Jing Li, Ali Faraji, Ghadeer Abuoda, Manos Papagelis:
TrajLearn: Trajectory Prediction Learning using Deep Generative Models. - Dmytro Tymoshchuk, Vasyl Yatskiv, Vitaliy Tymoshchuk, Nataliya Yatskiv:
Interactive cybersecurity training system based on simulation environments. - Changchang Yin, Shihan Fu, Bingsheng Yao, Thai-Hoang Pham, Weidan Cao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang:
SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction. - Giacomo Como, Fabio Fagnani, Leonardo Massai, Martina Vanelli:
Equilibria in Network Constrained Markets with Market Maker. - Zhenting Wang, Shuming Hu, Shiyu Zhao, Xiaowen Lin, Felix Juefei-Xu, Zhuowei Li, Ligong Han, Harihar Subramanyam, Li Chen, Jianfa Chen, Nan Jiang, Lingjuan Lyu, Shiqing Ma, Dimitris N. Metaxas, Ankit Jain:
MLLM-as-a-Judge for Image Safety without Human Labeling. - Jianan Wu, Ahmet Yusuf Salim, Eslam Elmitwalli, Selçuk Köse, Zeljko Ignjatovic:
A Pseudo-random Number Generator for Multi-Sequence Generation with Programmable Statistics. - Qiaoyi Fang, Weiyu Du, Hang Wang, Junshan Zhang:
Towards Unraveling and Improving Generalization in World Models. - Giuliano Lorenzoni, Pedro Elkind Velmovitsky, Paulo Alencar, Donald D. Cowan:
GPT-4 on Clinic Depression Assessment: An LLM-Based Pilot Study. - Duo Zhou, Christopher Brix, Grani A. Hanasusanto, Huan Zhang:
Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes. - Hammad Ather, Jean Luca Bez, Chen Wang, Hank Childs, Allen D. Malony, Suren Byna:
Parallel I/O Characterization and Optimization on Large-Scale HPC Systems: A 360-Degree Survey. - Tingxuan Wu, Zhaorui Ma, Yanjun Cui, Ziyi Zhou, Eric Wang:
MSM-BD: Multimodal Social Media Bot Detection Using Heterogeneous Information. - Anastasiia Tkachenko, Haitao Wang:
Dominating Set, Independent Set, Discrete k-Center, Dispersion, and Related Problems for Planar Points in Convex Position. - Moaiz Abrar, Yusuf Sermet, Ibrahim Demir:
An Empirical Evaluation of Large Language Models on Consumer Health Questions. - Yunjae Lee, Juntaek Lim, Jehyeon Bang, Eunyeong Cho, Huijong Jeong, Taesu Kim, Hyungjun Kim, Joonhyung Lee, Jinseop Im, Ranggi Hwang, Se Jung Kwon, Dongsoo Lee, Minsoo Rhu:
Debunking the CUDA Myth Towards GPU-based AI Systems. - Jinyuan Chen:
OciorMVBA: Near-Optimal Error-Free Asynchronous MVBA. - Peishen Yan, Jun Li, Hao Wang, Tao Song, Yang Hua, Peng Lu, Haihui Zhou, Haibing Guan:
FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding. - Betim Sherifi, Khaled Slhoub, Fitzroy Nembhard:
The Potential of LLMs in Automating Software Testing: From Generation to Reporting. - Max T. M. Ng, Hani S. Mahmassani:
Autonomous Minibus Service with Semi-on-demand Routes in Grid Networks. - Zixuan Yin, Han Sun, Ningzhong Liu, Huiyu Zhou, Jiaquan Shen:
DecoratingFusion: A LiDAR-Camera Fusion Network with the Combination of Point-level and Feature-level Fusion. - Michael N. Gubanov, Anna Pyayt, Aleksandra Karolak:
CancerKG.ORG A Web-scale, Interactive, Verifiable Knowledge Graph-LLM Hybrid for Assisting with Optimal Cancer Treatment and Care. - Hikari Tomita, Nobuhiro Nakamura, Shoichi Ishida, Toshio Kamiya, Kei Terayama:
Extracting effective solutions hidden in large language models via generated comprehensive specialists: case studies in developing electronic devices. - Tadahiro Taniguchi, Ryo Ueda, Tomoaki Nakamura, Masahiro Suzuki, Akira Taniguchi:
Generative Emergent Communication: Large Language Model is a Collective World Model. - Yupei Zhang, Ruojia Feng, Yifei Wang, Xuequn Shang:
Federated Deep Subspace Clustering. - Fabian Retkowski, Alexander Waibel:
Zero-Shot Strategies for Length-Controllable Summarization. - Wei Chen, Yi Zhou:
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning. - Giuliano Lorenzoni, Ivens Portugal, Paulo Alencar, Donald D. Cowan:
Exploring Variability in Fine-Tuned Models for Text Classification with DistilBERT. - Edwin Arkel Rios, Jansen Christopher Yuanda, Vincent Leon Ghanz, Cheng-Wei Yu, Bo-Cheng Lai, Min-Chun Hu:
Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition. - Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Shaokai Chen, Mengshu Sun, Binbin Hu, Zhiqiang Zhang, Lei Liang, Wen Zhang, Huajun Chen:
Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking. - Geonho Hwang, Yesom Park, Yueun Lee, Jooyoung Hahn, Myungjoo Kang:
Localized Estimation of Condition Numbers for MILU Preconditioners on a Graph. - Ramla Ijaz, Kevin Boos, Lin Zhong:
Combining Type Checking and Formal Verification for Lightweight OS Correctness. - Fariba Fateh:
A Universal Controller for Grid-Tied Inverters. - Jiasheng Zhang, Deqiang Ouyang, Shuang Liang, Jie Shao:
Towards Pattern-aware Data Augmentation for Temporal Knowledge Graph Completion. - Zongbiao Li, Xiezhao Li, Yinghao Cui, Yijun Chen, Zhixuan Gu, Yuxuan Liu, Wenbo Zhu, Fei Jia, Ke Liu, Qifeng Li, Junyao Zhan, Jiangtao Zhou, Chenxi Zhang, Qike Liu:
Automatically Planning Optimal Parallel Strategy for Large Language Models. - Raymond Bernard, Shaina Raza, Subhabrata Das, Rahul Murugan:
EQUATOR: A Deterministic Framework for Evaluating LLM Reasoning with Open-Ended Questions. # v1.0.0-beta. - Mehran Ebrahimi, Hyunmin Cheong, Pradeep Kumar Jayaraman, Farhad Javid:
Optimal design of frame structures with mixed categorical and continuous design variables using the Gumbel-Softmax method. - Diksha Goel:
Detection and Prevention of Smishing Attacks. - Syed Atif Ali, Salwa Din:
Collaborative Approaches to Enhancing Smart Vehicle Cybersecurity by AI-Driven Threat Detection. - Oraib Dawaghreh, Sharaf K. Magableh, Xuesong Wang, Mohammad Adnan Magableh, Caisheng Wang:
Integrating Cascade Pumped Micro-Hydro Storage: A Sustainable Approach to Energy and Water Management. - Kai Du, Lei Li, Yongle Xie, Yang Yu:
A structure-preserving collisional particle method for the Landau kinetic equation. - Syed Atif Ali, Salwa Din:
Enhancing Wireless Sensor Network Security through Integration with the ServiceNow Cloud Platform. - Rajat Talak, Charis Georgiou, Jingnan Shi, Luca Carlone:
Outlier-Robust Training of Machine Learning Models. - Mehran Ebrahimi, Adrian Butscher, Hyunmin Cheong:
A low order, torsion deformable spatial beam element based on the absolute nodal coordinate formulation and Bishop frame. - Ben Malin, Tatiana Kalganova, Nikoloas Boulgouris:
A review of faithfulness metrics for hallucination assessment in Large Language Models. - Weijia Xu, Nebojsa Jojic, Sudha Rao, Chris Brockett, Bill Dolan:
Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs. - Helia Hashemi, Jason Eisner, Corby Rosset, Benjamin Van Durme, Chris Kedzie:
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts. - Sabah Al-Fedaghi:
Conceptual Modeling and Classification of Events. - Junjie Li:
Performant Automatic BLAS Offloading on Unified Memory Architecture with OpenMP First-Touch Style Data Movement. - Jiawei Wu, Masahito Hayashi, Marco Tomamichel:
String commitment from unstructured noisy channels. - Yagna Kaasaragadda, Silvija Kokalj-Filipovic:
ReFormer: Generating Radio Fakes for Data Augmentation. - Chunyang Liao:
Solving Partial Differential Equations with Random Feature Models. - Zijie Li, Henry Li, Yichun Shi, Amir Barati Farimani, Yuval Kluger, Linjie Yang, Peng Wang:
Dual Diffusion for Unified Image Generation and Understanding. - Ashay Athalye, Nishanth Kumar, Tom Silver, Yichao Liang, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Predicate Invention from Pixels via Pretrained Vision-Language Models. - Huanting Wang, Patrick Lenihan, Zheng Wang:
Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization. - Haocheng Guo, Yaqiong Zhang, Lieyang Chen, Arfat Ahmad Khan:
Research on vehicle detection based on improved YOLOv8 network. - Shi-Feng Peng, Guolei Sun, Yong Li, Hongsong Wang, Guo-Sen Xie:
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation. - Zhaobin Mo, Haotian Xiang, Xuan Di:
diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs. - Yixuan Li, Can Chen, Jiajun Li, Jiahui Duan, Xiongwei Han, Tao Zhong, Vincent Chau, Weiwei Wu, Wanyuan Wang:
Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction. - Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, Mahantesh Halappanavar, Ryan A. Rossi, Subhabrata Mukherjee, Xianfeng Tang, Qi He, Zhigang Hua, Bo Long, Tong Zhao, Neil Shah, Amin Javari, Yinglong Xia, Jiliang Tang:
Retrieval-Augmented Generation with Graphs (GraphRAG). - Feng Wu, Yuelin Zhao, Li Zhu:
Conditional Uncertainty Quantification of Stochastic Dynamical Structures Considering Measurement Conditions. - Chuxiong Sun, Peng He, Qirui Ji, Zehua Zang, Jiangmeng Li, Rui Wang, Wei Wang:
M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference. - Jiexin Wang, Yiju Guo, Bing Su:
Temporal Dynamics Decoupling with Inverse Processing for Enhancing Human Motion Prediction. - Mahir Labib Dihan, Md Tanvir Hassan, Md Tanvir Parvez, Md Hasebul Hasan, Md Almash Alam, Muhammad Aamir Cheema, Mohammed Eunus Ali, Md Rizwan Parvez:
MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models. - Jiexin Wang, Yiju Guo, Bing Su:
Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction. - Jicheol Park, Boseung Jeong, Dongwon Kim, Suha Kwak:
Improving Text-based Person Search via Part-level Cross-modal Correspondence. - Haibo Tong, Enmeng Lu, Yinqian Sun, Zhengqiang Han, Chao Liu, Feifei Zhao, Yi Zeng:
Autonomous Alignment with Human Value on Altruism through Considerate Self-imagination and Theory of Mind. - Ling Fu, Biao Yang, Zhebin Kuang, Jiajun Song, Yuzhe Li, Linghao Zhu, Qidi Luo, Xinyu Wang, Hao Lu, Mingxin Huang, Zhang Li, Guozhi Tang, Bin Shan, Chunhui Lin, Qi Liu, Binghong Wu, Hao Feng, Hao Liu, Can Huang, Jingqun Tang, Wei Chen, Lianwen Jin, Yuliang Liu, Xiang Bai:
OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning. - Runnan Chen, Xiangyu Sun, Zhaoqing Wang, Youquan Liu, Jiepeng Wang, Lingdong Kong, Jiankang Deng, Mingming Gong, Liang Pan, Wenping Wang, Tongliang Liu:
OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies. - Hoang Long Vu, Phuong Tuan Dat, Pham Thao Nhi, Nguyen Song Hao, Nguyen Thi Thu Trang:
VoxVietnam: a Large-Scale Multi-Genre Dataset for Vietnamese Speaker Recognition. - Hebin Wang, Yangning Li, Yinghui Li, Hai-Tao Zheng, Wenhao Jiang, Hong-Gee Kim:
Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion. - Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, Menghai Pan, Chin-Chia Michael Yeh, Guanchu Wang, Mingzhi Hu, Zhichao Xu, Yan Zheng, Mahashweta Das, Na Zou:
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. - Ding Zhang, Yangning Li, Lichen Bai, Hao Zhang, Yinghui Li, Haiye Lin, Hai-Tao Zheng, Xin Su, Zifei Shan:
Loss-Aware Curriculum Learning for Chinese Grammatical Error Correction. - Mitali Bafna, Dor Minzer:
Constant Degree Networks for Almost-Everywhere Reliable Transmission. - Kainan Liu, Yong Zhang, Ning Cheng, Zhitao Li, Shaojun Wang, Jing Xiao:
Rethinking Layer Removal: Preserving Critical Components with Task-Aware Singular Value Decomposition. - Haifeng Zhao, Yuguang Jin, Leilei Ma:
Dynamic Prompt Adjustment for Multi-Label Class-Incremental Learning. - Yiwen Wang, Siyuan Chen, Ran Yi:
SG-Splatting: Accelerating 3D Gaussian Splatting with Spherical Gaussians. - Yanhong Li, Karen Livescu, Jiawei Zhou:
Chunk-Distilled Language Modeling. - Elena Beretta, Maolin Deng, Alberto Gandolfi, Bangti Jin:
The discrete inverse conductivity problem solved by the weights of an interpretable neural network. - Xiaolei Wang, Xiaoyang Wang, Huihui Bai, Eng Gee Lim, Jimin Xiao:
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection. - Qi Zhang, Huamin Wang, Hangchi Shen, Shukai Duan, Shiping Wen, Tingwen Huang:
Temporal Information Reconstruction and Non-Aligned Residual in Spiking Neural Networks for Speech Classification. - Runnan Chen, Zhaoqing Wang, Jiepeng Wang, Yuexin Ma, Mingming Gong, Wenping Wang, Tongliang Liu:
PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAM. - Wanlong Liu, Junying Chen, Ke Ji, Li Zhou, Wenyu Chen, Benyou Wang:
RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions. - Heng Zhao, Sheng Cen, Yifei Zhu:
The Space above the Sky: Uniting Global-Scale Ground Station as a Service for Efficient Orbital Data Processing. - Ilan Schvartzman, Roei Sarussi, Maor Ashkenazi, Ido kringel, Yaniv Tocker, Tal Furman Shohet:
A New Dataset and Methodology for Malicious URL Classification. - Yue Fan, Xiaojian Ma, Rongpeng Su, Jun Guo, Rujie Wu, Xi Chen, Qing Li:
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding. - Zhiting He, Jiayi Su, Li Chen, Tianqi Wang, Ray LC:
"I Recall the Past": Exploring How People Collaborate with Generative AI to Create Cultural Heritage Narratives. - Dawen Yu, Shunping Ji:
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images. - Xiaoning Dong, Peilin Xin, Wei Xu:
SPDZCoder: Teaching LLMs to Synthesize Privacy Computing Code without Massive Training Data. - Leo Ardon, Daniel Furelos-Blanco, Roko Parac, Alessandra Russo:
FORM: Learning Expressive and Transferable First-Order Logic Reward Machines. - Menglin Yang, Jialin Chen, Yifei Zhang, Jiahong Liu, Jiasheng Zhang, Qiyao Ma, Harshit Verma, Qianru Zhang, Min Zhou, Irwin King, Rex Ying:
Low-Rank Adaptation for Foundation Models: A Comprehensive Review. - Yifan Tian, Yixin Liu, Yi Bu, Jiqun Liu:
Who Gets Recommended? Investigating Gender, Race, and Country Disparities in Paper Recommendations from Large Language Models. - Ahmet Astar, Ozan Nurcan, Erk Demirel, Emir Ozen, Ozan Kutlar, Fabio Stroppa:
Design Optimizer for Soft Growing Robot Manipulators in Three-Dimensional Environments. - Derya Malak:
Structured Codes for Distributed Matrix Multiplication. - Roberto Pegurri, Francesco Linsalata, Eugenio Moro, Jakob Hoydis, Umberto Spagnolini:
Toward Digital Network Twins: Integrating Sionna RT in ns-3 for 6G Multi-RAT Networks Simulations. - Evelyn Zhang, Bang Xiao, Jiayi Tang, Qianli Ma, Chang Zou, Xuefei Ning, Xuming Hu, Linfeng Zhang:
Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free. - Sijing Xie, Dingzhu Wen, Xiaonan Liu, Changsheng You, Tharmalingam Ratnarajah, Kaibin Huang:
Federated Dropout: Convergence Analysis and Resource Allocation. - Ondrej Bajgar, Sid William Gould, Rohan Narayan Langford Mitta, Jonathon Liu, Oliver Newcombe, Jack Golden:
Toward Information Theoretic Active Inverse Reinforcement Learning. - Xingyu Bruce Liu, Shitao Fang, Weiyan Shi, Chien-Sheng Wu, Takeo Igarashi, Xiang 'Anthony' Chen:
Proactive Conversational Agents with Inner Thoughts. - Rui Xia, Yanhua Cheng, Yongxiang Tang, Xiaocheng Liu, Xialong Liu, Lisong Wang, Peng Jiang:
S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain. - Roy Steinberg, Kiril Solovey:
Impossibility of Self-Organized Aggregation without Computation. - Raphael Schlattmann, Malte Vogl:
Trajectories of Change: Approaches for Tracking Knowledge Evolution. - Wenkai Tu, Guojia Wan, Zhengchun Shang, Bo Du:
Efficient Relational Context Perception for Knowledge Graph Completion. - Nishit Anand, Ashish Seth, Ramani Duraiswami, Dinesh Manocha:
TSPE: Task-Specific Prompt Ensemble for Improved Zero-Shot Audio Classification. - Liangcheng Han, Haifan Yin, Mengying Gao, Rui Zhang:
Movable Superdirective Pairs: A Phase Shifter-Free Approach to mmWave Communications. - Hiroyuki Masuyama:
PureRank: A Parameter-Free Recursive Importance Measure for Network Nodes. - Martin Pawelczyk, Lillian Sun, Zhenting Qi, Aounon Kumar, Himabindu Lakkaraju:
Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models. - Fangchen Yu, Ruilizhen Hu, Yidong Lin, Yuqi Ma, Zhenghao Huang, Wenye Li:
KAE: Kolmogorov-Arnold Auto-Encoder for Representation Learning. - Vinay Kanakeri, Aritra Mitra:
Outlier-Robust Linear System Identification Under Heavy-tailed Noise. - Or Haim Anidjar, Revital Marbel, Roi Yozevitch:
Whisper Turns Stronger: Augmenting Wav2Vec 2.0 for Superior ASR in Low-Resource Languages. - Junmin Cai, Han Sun, Ningzhong Liu:
B2Net: Camouflaged Object Detection via Boundary Aware and Boundary Fusion. - Chengbo He, Bochao Zou, Xin Li, Jiansheng Chen, Junliang Xing, Huimin Ma:
Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents. - Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh, Paul Lukowicz:
OV-HHIR: Open Vocabulary Human Interaction Recognition Using Cross-modal Integration of Large Language Models. - Jinwuk Seok, Changsik Cho:
Intuitive Analysis of the Quantization-based Optimization: From Stochastic and Quantum Mechanical Perspective. - Jianjie Luo, Jingwen Chen, Yehao Li, Yingwei Pan, Jianlin Feng, Hongyang Chao, Ting Yao:
Unleashing Text-to-Image Diffusion Prior for Zero-Shot Image Captioning. - Jie Ying, Tiantian Zhu, Aohan Zheng, Tieming Chen, Mingqi Lv, Yan Chen:
METANOIA: A Lifelong Intrusion Detection and Investigation System for Mitigating Concept Drift. - Elizaveta Ivanchik, Alexander Hvatov:
Knowledge-aware equation discovery with automated background knowledge extraction. - Jie Ying, Tiantian Zhu, Mingqi Lv, Tieming Chen:
DEHYDRATOR: Enhancing Provenance Graph Storage via Hierarchical Encoding and Sequence Generation. - Rodrigo Bernal, Federico Milano:
A Complex Frequency-Based Control for Inverter-Based Resources. - Chun-Hsiung Tseng, Hao-Chiang Koong Lin, Yung-Hui Chen, Jia-Rou Lin, Andrew Chih-Wei Huang:
Do Students with Different Personality Traits Demonstrate Different Physiological Signals in Video-based Learning? - Vasco Brattka, Hendrik Smischliaew:
Computability of Initial Value Problems. - Pratik Nag:
Unrolled Creative Adversarial Network For Generating Novel Musical Pieces. - Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Jianxi Gao:
Differentiable Prompt Learning for Vision Language Models. - Sherwin Varghese, James Tian:
Efficient support ticket resolution using Knowledge Graphs. - Lu Zhang, Liang Zeng:
SAT-LDM: Provably Generalizable Image Watermarking for Latent Diffusion Models with Self-Augmented Training. - Kiswendsida K. Kabore, Désiré Guel:
Addressing Challenges in Data Quality and Model Generalization for Malaria Detection. - Saugat Kannojia, Anirudh Praveen, Danish Vasdev, Saket Nandedkar, Divyansh Mittal, Sarthak Kalankar, Shaurya Johari, Vipul Arora:
Dementia Detection using Multi-modal Methods on Audio Data. - Ahmed Aloui, Ali Hasan, Juncheng Dong, Zihao Wu, Vahid Tarokh:
Score-Based Metropolis-Hastings Algorithms. - Yunyou Huang, Jiahui Zhao, Dandan Cui, Zhengxin Yang, Bingjie Xia, Qi Liang, Wenjing Liu, Li Ma, Suqin Tang, Tianyong Hao, Zhifei Zhang, Wanling Gao, Jianfeng Zhan:
Quantifying the Dynamics of Harm Caused by Retracted Research. - Sushil Ghildiyal, Kishankumar Bhimani, Manimozhi M:
Design To Convert a Wired PLC into Wireless PLC. - Mohamadamin Rajabinezhad, Nesa Shams, Asad Ali Khan, Omar Ali Beg, Shan Zuo:
Lyapunov-based Resilient Secondary Synchronization Strategy of AC Microgrids Under Exponentially Energy-Unbounded FDI Attacks. - Yaroslav Petrukhin:
A Binary Quantifier for Definite Descriptions in Nelsonian Free Logic. - Norihiro Kamide:
Twist Sequent Calculi for S4 and its Neighbors. - Tomoaki Kawano:
Nested-sequent Calculus for Modal Logic MB. - Jirí Raclavský:
Two Cases of Deduction with Non-referring Descriptions. - Takahiro Sawasaki:
Semantic Incompleteness of Liberman et al. (2020)'s Hilbert-style System for Term-modal Logic K with Equality and Non-rigid Terms. - Akinori Maniwa, Ryo Kashima:
Syntactic Cut-Elimination for Provability Logic GL via Nested Sequents. - Bartosz Wieckowski:
Incomplete Descriptions and Qualified Definiteness. - Amir Karniel, Michael Kaminski:
Many-Valued Modal Logic. - Marcelo E. Coniglio, Pawel Pawlowski, Daniel Skurt:
Modal Logics - RNmatrices vs. Nmatrices. - Pawel Placzek:
Complexity of Nonassociative Lambek Calculus with classical logic. - Norihiro Kamide, Sara Negri:
A Unified Gentzen-style Framework for Until-free LTL. - Satoru Niki, Hitoshi Omori:
Kamide is in America, Moisil and Leitgeb are in Australia. - Norihiro Kamide:
Unified Gentzen Approach to Connexive Logics over Wansing's C. - Hitoshi Omori, Jonas R. Becker Arenhart:
The Power of Generalized Clemens Semantics. - Hitoshi Omori, Jonas R. Becker Arenhart:
A note on Grigoriev and Zaitsev's system CNL24. - Hitoshi Omori:
The Disjunction-Free Fragment of D2 is Three-Valued. - Miro Miranda, Marcela Charfuelan, Andreas Dengel:
Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting. - Nermin Covic, Bakir Lacevic, Dinko Osmankovic, Tarik Uzunovic:
Real-Time Sampling-Based Safe Motion Planning for Robotic Manipulators in Dynamic Environments. - Ilias Diakonikolas, Daniel M. Kane, Mingchen Ma:
Active Learning of General Halfspaces: Label Queries vs Membership Queries. - Liam Lonergan, Ibon Saratxaga, John Sloan, Oscar Maharog, Mengjie Qian, Neasa Ní Chiaráin, Christer Gobl, Ailbhe Ní Chasaide:
Fotheidil: an Automatic Transcription System for the Irish Language. - Zhaoliang Wan, Yonggen Ling, Senlin Yi, Lu Qi, Wangwei Lee, Minglei Lu, Sicheng Yang, Xiao Teng, Peng Lu, Xu Yang, Ming-Hsuan Yang, Hui Cheng:
VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception. - Jiseok Chae, Chulhee Yun, Donghwan Kim:
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements. - Yifan Xu, Xinhao Li, Yichun Yang, Rui Huang, Limin Wang:
Fine-grained Video-Text Retrieval: A New Benchmark and Method. - Keke Zhai:
A Method for Enhancing the Safety of Large Model Generation Based on Multi-dimensional Attack and Defense. - Bao Q. Bui, Tien T. T. Nguyen, Duy M. Le, Cong Tran, Cuong Pham:
Innovative Silicosis and Pneumonia Classification: Leveraging Graph Transformer Post-hoc Modeling and Ensemble Techniques. - Ke Yang, Volodymyr V. Kindratenko, ChengXiang Zhai:
TinyHelen's First Curriculum: Training and Evaluating Tiny Language Models in a Simpler Language Environment. - Kewei Zhou, Ziming Wang, Zhihao Chen, Xin Wang:
Event-Triggered Observer-Based Fixed-Time Consensus Control for Uncertain Nonlinear Multiagent Systems with Unknown States. - Cheng Yuan, Jian Jiang, Kunyi Yang, Lv Wu, Rui Wang, Zi Meng, Haonan Ping, Ziyu Xu, Yifan Zhou, Wanli Song, Hesheng Wang, Qi Dou, Yutong Ban:
Is Segment Anything Model 2 All You Need for Surgery Video Segmentation? A Systematic Evaluation. - Madeleine Darbyshire, Elizabeth Sklar, Simon Parsons:
Exploiting Boundary Loss for the Hierarchical Panoptic Segmentation of Plants and Leaves. - AmirHosein Rostami, Sepand Haghighi, Sadra Sabouri, Alireza Zolanvari:
PyMilo: A Python Library for ML I/O. - Yomal De Mel, Kasun Wickramasinghe, Nisansa de Silva, Surangika Ranathunga:
Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq Approaches. - Ayoub Ben Chaliah, Hela Dellagi:
Superposition in Transformers: A Novel Way of Building Mixture of Experts. - Cristina Tavares, Nathalia Nascimento, Paulo Alencar, Donald D. Cowan:
Variability-Aware Machine Learning Model Selection: Feature Modeling, Instantiation, and Experimental Case Study. - Zijian Fang, Zongkai Liu, Chao Yu, Chaohao Hu:
Rapid Learning in Constrained Minimax Games with Negative Momentum. - Amira Jemaa, Adnan Rashid, Sofiène Tahar:
Extending XReason: Formal Explanations for Adversarial Detection. - Md. Tarek Hasan, Arifa Akter, Mohammad Nazmush Shamael, Md Al Emran Hossain, H. M. Mutasim Billah, Sumayra Islam, Swakkhar Shatabda:
Adaptive Tabu Dropout for Regularization of Deep Neural Network. - Stefan Szeider:
MCP-Solver: Integrating Language Models with Constraint Programming Systems. - Adnan Rashid, Sa'ed Abed, Osman Hasan:
Formalization of Biological Circuit Block Diagrams for formally analyzing Biomedical Control Systems in pHRI Applications. - Zeping Sui, Hien Quoc Ngo, Michail Matthaiou, Lajos Hanzo:
Performance Analysis and Optimization of STAR-RIS-Aided Cell-Free Massive MIMO Systems Relying on Imperfect Hardware. - Mehrdad Salimnejad, Nikolaos Pappas, Marios Kountouris:
So Timely, Yet So Stale: The Impact of Clock Drift in Real-Time Systems. - Harit Vishwakarma, Alan Mishler, Thomas Cook, Niccolò Dalmasso, Natraj Raman, Sumitra Ganesh:
Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs. - Ahmad Mustapha, Hadi Al-Khansa, Hadi Al-Mubasher, Aya Mourad, Ranam Hamoud, Hasan El-Husseini, Marwah Al-Sakkaf, Mariette Awad:
AraSTEM: A Native Arabic Multiple Choice Question Benchmark for Evaluating LLMs Knowledge In STEM Subjects. - Mingqi Gao, Yixin Liu, Xinyu Hu, Xiaojun Wan, Jonathan Bragg, Arman Cohan:
Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference. - Hashmath Shaik, Alex Doboli:
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems. - Tiange Luo, Ang Cao, Gunhee Lee, Justin Johnson, Honglak Lee:
Probing Visual Language Priors in VLMs. - Chengcheng Mai, Yuxiang Wang, Ziyu Gong, Hanxiang Wang, Yihua Huang:
KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities. - Xinhao Li, Yi Wang, Jiashuo Yu, Xiangyu Zeng, Yuhan Zhu, Haian Huang, Jianfei Gao, Kunchang Li, Yinan He, Chenting Wang, Yu Qiao, Yali Wang, Limin Wang:
VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling. - Yipeng Kang, Junqi Wang, Yexin Li, Fangwei Zhong, Xue Feng, Mengmeng Wang, Wenming Tu, Quansen Wang, Hengli Li, Zilong Zheng:
Causal Graph Guided Steering of LLM Values via Prompts and Sparse Autoencoders. - Zhenpeng Huang, Xinhao Li, Jiaqi Li, Jing Wang, Xiangyu Zeng, Cheng Liang, Tao Wu, Xi Chen, Liang Li, Limin Wang:
Online Video Understanding: A Comprehensive Benchmark and Memory-Augmented Method. - Edgar Guzman, Robert D. Howe:
Sidewalk Hazard Detection Using Variational Autoencoder and One-Class SVM. - Yi Zhang, Mohamadamin Rajabinezhad, Yichao Wang, Junbo Zhao, Shan Zuo:
Privacy-Preserving Distributed Defense Framework for DC Microgrids Against Exponentially Unbounded False Data Injection Attacks. - M. Ali Bayram, Ali Arda Fincan, Ahmet Semih Gümüs, Banu Diri, Savas Yildirim, Öner Aytas:
Setting Standards in Turkish NLP: TR-MMLU for Large Language Model Evaluation. - Abdullah Alchihabi, Yuhong Guo:
Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion. - Kateryna Melnyk, Lee Friedman, Dmytro Katrychuk, Oleg Komogortsev:
Gaze Prediction as a Function of Eye Movement Type and Individual Differences. - David Gros:
"Dialogue" vs "Dialog" in NLP and AI research: Statistics from a Confused Discourse. - Yuqian Yuan, Hang Zhang, Wentong Li, Zesen Cheng, Boqiang Zhang, Long Li, Xin Li, Deli Zhao, Wenqiao Zhang, Yueting Zhuang, Jianke Zhu, Lidong Bing:
VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM. - Jiageng Mao, Boyi Li, Boris Ivanovic, Yuxiao Chen, Yan Wang, Yurong You, Chaowei Xiao, Danfei Xu, Marco Pavone, Yue Wang:
DreamDrive: Generative 4D Scene Modeling from Street View Images. - Jiawei Yang, Jiahui Huang, Yuxiao Chen, Yan Wang, Boyi Li, Yurong You, Apoorva Sharma, Maximilian Igl, Péter Karkus, Danfei Xu, Boris Ivanovic, Yue Wang, Marco Pavone:
STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes. - Yuchuan Tian, Jing Han, Chengcheng Wang, Yuchen Liang, Chao Xu, Hanting Chen:
DiC: Rethinking Conv3x3 Designs in Diffusion Models. - Amirhossein Javaheri, Jiaxi Ying, Daniel P. Palomar, Farokh Marvasti:
Time-Varying Graph Learning for Data with Heavy-Tailed Distribution. - Tomasz Rutowski, Amir Harati, Yang Lu, Elizabeth Shriberg:
Optimizing Speech-Input Length for Speaker-Independent Depression Classification. - David Cohen, Julián A. Norato:
Optimal design of triply-periodic minimal surface implants for bone repair. - Luis A. Lastras, Barry M. Trager, Jonathan Lenchner, Wojciech Szpankowski, Chai Wah Wu, Mark S. Squillante, Alexander Gray:
Breaking through the classical Shannon entropy limit: A new frontier through logical semantics. - Geoffery Agorku, Sarah Hernandez, Maria Falquez, Subhadipto Poddar, Shihao Pang:
Predicting Barge Presence and Quantity on Inland Waterways using Vessel Tracking Data: A Machine Learning Approach. - Tomek Rutowski, Amir Harati, Elizabeth Shriberg, Yang Lu, Piotr Chlebek, Ricardo Oliveira:
Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Language. - Sarah M. Hooper, Hui Xue:
A Study on Context Length and Efficient Transformers for Biomedical Image Analysis. - Taejoon Kim, Haiyan Wang:
Global dense vector representations for words or items using shared parameter alternating Tweedie model. - Kyle Gao, Liangzhi Li, Hongjie He, Dening Lu, Linlin Xu, Jonathan Li:
Gaussian Building Mesh (GBM): Extract a Building's 3D Mesh with Google Earth and Gaussian Splatting. - Taejoon Kim, Haiyan Wang:
Matrix factorization and prediction for high dimensional co-occurrence count data via shared parameter alternating zero inflated Gamma model. - Keith G. Mills, Muhammad Fetrat Qharabagh, Weichen Qiu, Fred X. Han, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu:
Applying Graph Explanation to Operator Fusion. - Tianfu Wang, Mingyang Xie, Haoming Cai, Sachin Shah, Christopher A. Metzler:
Flash-Split: 2D Reflection Removal with Flash Cues and Latent Diffusion Separation. - Mark Zakharov, Farzaneh Rabiei Kashanaki, Jose Renau:
Enabling New HDLs with Agents. - Daniel B. Hier, Michael D. Carrithers, Thanh Son Do, Tayo Obafemi-Ajayi:
Efficient Standardization of Clinical Notes using Large Language Models. - Kim Sung-Bin, Kim Jun-Seong, Junseok Ko, Yewon Kim, Tae-Hyun Oh:
SoundBrush: Sound as a Brush for Visual Scene Editing. - Suttisak Wizadwongsa, Jinfan Zhou, Edward Li, Jeong Joon Park:
Taming Feed-forward Reconstruction Models as Latent Encoders for 3D Generative Models. - Xindi Wu, Mengzhou Xia, Rulin Shao, Zhiwei Deng, Pang Wei Koh, Olga Russakovsky:
ICONS: Influence Consensus for Vision-Language Data Selection. - Davide Italiano, Chris Cummins:
Finding Missed Code Size Optimizations in Compilers using LLMs. - Team OLMo, Pete Walsh, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Shane Arora, Akshita Bhagia, Yuling Gu, Shengyi Huang, Matt Jordan, Nathan Lambert, Dustin Schwenk, Oyvind Tafjord, Taira Anderson, David Atkinson, Faeze Brahman, Christopher Clark, Pradeep Dasigi, Nouha Dziri, Michal Guerquin, Hamish Ivison, Pang Wei Koh, Jiacheng Liu, Saumya Malik, William Merrill, Lester James V. Miranda, Jacob Morrison, Tyler Murray, Crystal Nam, Valentina Pyatkin, Aman Rangapur, Michael Schmitz, Sam Skjonsberg, David Wadden, Christopher Wilhelm, Michael Wilson, Luke Zettlemoyer, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi:
2 OLMo 2 Furious. - Nicholas B. Andrews, Kristi A. Morgansen:
Relative Pose Observability Analysis Using Dual Quaternions. - Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li:
Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing. - Kazuki Irie:
Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph. - Ali Behrouz, Peilin Zhong, Vahab Mirrokni:
Titans: Learning to Memorize at Test Time. - Phuc Nguyen, Miao Li, Alexandra Morgan, Rima Arnaout, Ramy Arnaout:
Grade Inflation in Generative Models. - El Houcine El Fatimi:
Leaf diseases detection using deep learning methods. - Akash Kumar Panda, Bart Kosko:
Controlled Causal Hallucinations Can Estimate Phantom Nodes in Multiexpert Mixtures of Fuzzy Cognitive Maps. - Amir Mohammad Ebrahimi, Bram Adams, Gustavo Ansaldi Oliva, Ahmed E. Hassan:
UPC Sentinel: An Accurate Approach for Detecting Upgradeability Proxy Contracts in Ethereum. - HanQin Cai, Chandra Kundu, Jialin Liu, Wotao Yin:
Deeply Learned Robust Matrix Completion for Large-scale Low-rank Data Recovery. - Florian Dietz, Dietrich Klakow:
IGC: Integrating a Gated Calculator into an LLM to Solve Arithmetic Tasks Reliably and Efficiently. - Md. Rakibul Hasan, Yue Yao, Md. Zakir Hossain, Aneesh Krishna, Imre Rudas, Shafin Rahman, Tom Gedeon:
Labels Generated by Large Language Model Helps Measuring People's Empathy in Vitro. - Xingzi Xu, Amir Tavanaei, Kavosh Asadi, Karim Bouyarmane:
Adjoint sharding for very long context training of state space models. - Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Ke Xu, Quyang Pan, Bo Gao, Tian Wen:
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration. - Chethan Bhateja, Joseph O'Brien, Afnaan Hashmi, Eva Prakash:
Cost and Reward Infused Metric Elicitation. - Michael Bennie, Demi Zhang, Bushi Xiao, Jing Cao, Chryseis Xinyi Liu, Jian Meng, Alayo Tripp:
PANDA - Paired Anti-hate Narratives Dataset from Asia: Using an LLM-as-a-Judge to Create the First Chinese Counterspeech Dataset. - Hao Wang, Cheng Deng, Zhidong Zhao:
Knowledge-Guided Prompt Learning for Deepfake Facial Image Detection. - Yuanchao Xu, Kaidi Shao, Nikos K. Logothetis, Zhongwei Shen:
ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals. - Sarah Polson, Vadim Sokolov:
Kolmogorov GAM Networks are all you need! - Hui Zeng, Sanshuai Cui, Biwei Chen, Anjie Peng:
Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability. - Muhieddine Shebaro, Jelena Tesic:
KAN KAN Buff Signed Graph Neural Networks? - Jiajun Zhu, Peihao Wang, Ruisi Cai, Jason D. Lee, Pan Li, Zhangyang Wang:
Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding. - Michael Bennie, Bushi Xiao, Chryseis Xinyi Liu, Demi Zhang, Jian Meng, Alayo Tripp:
CODEOFCONDUCT at Multilingual Counterspeech Generation: A Context-Aware Model for Robust Counterspeech Generation in Low-Resource Languages. - Zhexiong Liu, Diane J. Litman, Elaine Wang, Tianwen Li, Mason Gobat, Lindsay Clare Matsumura, Richard Correnti:
eRevise+RF: A Writing Evaluation System for Assessing Student Essay Revisions and Providing Formative Feedback. - Nasit S. Sony:
An efficient validated asynchronous byzantine agreement protocol using committee. - Peihan Zhang, Bhathiya Rathnayake, Mamadou Diagne, Miroslav Krstic:
Performance-Barrier Event-Triggered PDE Control of Traffic Flow. - Tetsuya Hoya, Shunpei Morita:
Automatic Construction of Pattern Classifiers Capable of Continuous Incremental Learning and Unlearning Tasks Based on Compact-Sized Probabilistic Neural Network. - Chuanting Zhang, Haixia Zhang, Shuping Dang, Basem Shihada, Mohamed-Slim Alouini:
Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction. - Mayur Shirke, Amey Shembade, Madhushri Wagh, Pavan Thorat, Raviraj Joshi:
On Importance of Layer Pruning for Smaller BERT Models and Low Resource Languages. - Yuji Arima, Satoshi Kagiwada, Hitoshi Iyatomi:
DDD: Discriminative Difficulty Distance for plant disease diagnosis. - Jinrae Kim, John L. Bullock, Sheng Cheng, Naira Hovakimyan:
Smooth Reference Command Generation and Control for Transition Flight of VTOL Aircraft Using Time-Varying Optimization. - Ruibin Li, Tao Yang, Song Guo, Lei Zhang:
RORem: Training a Robust Object Remover with Human-in-the-Loop. - Chuanzhi Xu, Langyi Chen, Vincent Qu, Haodong Chen, Vera Chung:
Towards End-to-End Neuromorphic Voxel-based 3D Object Reconstruction Without Physical Priors. - Yequan Zhao, Xian Xiao, Antoine Descos, Yuan Yuan, Xinling Yu, Geza Kurczveil, Marco Fiorentino, Zheng Zhang, Raymond G. Beausoleil:
Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training. - Mengran Li, Chaojun Ding, Junzhou Chen, Wenbin Xing, Cong Ye, Ronghui Zhang, Songlin Zhuang, Jia Hu, Tony Z. Qiu, Huijun Gao:
AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs. - Xiyang Hu:
Dynamics of Adversarial Attacks on Large Language Model-Based Search Engines. - Yiwei Qin, Yixiu Liu, Pengfei Liu:
DIVE: Diversified Iterative Self-Improvement. - Cheonsu Jeong:
Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform. - Suho Park, SuBeen Lee, Hyun Seok Seong, Jaejoon Yoo, Jae-Pil Heo:
Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation. - Ben-Ao Dai, Nengchao Lyu, Yongchao Miao:
FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting. - Dinesh P. Srivasthav, Manoj Apte:
Beyond Static Datasets: A Behavior-Driven Entity-Specific Simulation to Overcome Data Scarcity and Train Effective Crypto Anti-Money Laundering Models. - Chenlong Xu, Bineng Zhong, Qihua Liang, Yaozong Zheng, Guorong Li, Shuxiang Song:
Less is More: Token Context-aware Learning for Object Tracking. - Tianshi Zheng, Jiazheng Wang, Zihao Wang, Jiaxin Bai, Hang Yin, Zheye Deng, Yangqiu Song, Jianxin Li:
Enhancing Transformers for Generalizable First-Order Logical Entailment. - Ziang Chen, Zhengjiang Lin, Shi Chen, Yury Polyanskiy, Philippe Rigollet:
Residual connections provably mitigate oversmoothing in graph neural networks. - Yulong Li, Yuxuan Zhang, Feilong Tang, Mian Zhou, Zhixiang Lu, Haochen Xue, Yifang Wang, Kang Dang, Jionglong Su:
Beyond Words: AuralLLM and SignMST-C for Precise Sign Language Production and Bidirectional Accessibility. - Haoyang Li, Yuming Xu, Chen Jason Zhang, Alexander Zhou, Lei Chen, Qing Li:
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements. - Jie Gao, Zhiyao Shu, ShunYi Yeo:
Using Large Language Model to Support Flexible and Structural Inductive Qualitative Analysis. - Qianli Wang, Nils Feldhus, Simon Ostermann, Luis-Felipe Villa-Arenas, Sebastian Möller, Vera Schmitt:
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation. - Yuxuan Zhang, Yulong Li, Zichen Yu, Feilong Tang, Zhixiang Lu, Chong Li, Kang Dang, Jionglong Su:
Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form Conversations. - Huyen Nguyen, Hieu Dam, Nguyen Do, Cong Tran, Cuong Pham:
REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization. - Jingyuan Li, Wei Liu:
Solving McKean-Vlasov Equation by deep learning particle method. - Soumyadeep Sar, Dwaipayan Roy:
Navigating Nuance: In Quest for Political Truth. - Zhenghua Duan, Meng Li, Chunjie Zhou:
Solid-state dewetting of axisymmetric thin film on axisymmetric curved-surface substrates: modeling and simulation. - Yuzhi Lai, Shenghai Yuan, Youssef Nassar, Mingyu Fan, Atmaraaj Gopal, Akihiro Yorita, Naoyuki Kubota, Matthias Rätsch:
NMM-HRI: Natural Multi-modal Human-Robot Interaction with Voice and Deictic Posture via Large Language Model. - Minhao Bai, Jinshuai Yang, Kaiyi Pang, Yongfeng Huang, Yue Gao:
Shifting-Merging: Secure, High-Capacity and Efficient Steganography via Large Language Models. - Muhammet Anil Yagiz, Polat Goktas:
LENS-XAI: Redefining Lightweight and Explainable Network Security through Knowledge Distillation and Variational Autoencoders for Scalable Intrusion Detection in Cybersecurity. - Alfredo Cuzzocrea, Giovanni Pilato, Pablo García Bringas:
Creating, Using and Assessing a Generative-AI-Based Human-Chatbot-Dialogue Dataset with User-Interaction Learning Capabilities. - Binglu Wang, Yao Tian, Shunzhou Wang, Le Yang:
Multimodal Large Models Are Effective Action Anticipators. - Leonard Puskác, Marek Benovic, Jakub Breier, Xiaolu Hou:
Make Shuffling Great Again: A Side-Channel Resistant Fisher-Yates Algorithm for Protecting Neural Networks. - Samrat Mukhopadhyay, Debasmita Mukherjee:
Follow The Approximate Sparse Leader for No-Regret Online Sparse Linear Approximation. - Jingyao Tang, Lishuang Li, Liteng Mi, Haiming Wu, Hongbin Lu:
Reasoning-Oriented and Analogy-Based Methods for Locating and Editing in Zero-Shot Event-Relational Reasoning. - Erik Nguyen, Spencer Htin:
Regression Guided Strategy to Automated Facial Beauty Optimization through Image Synthesis. - Rui Yang, Xiaojun Wu, Shengfeng He:
MixSA: Training-free Reference-based Sketch Extraction via Mixture-of-Self-Attention. - Itamar Shoshani, Ohad Shamir:
Hardness of Learning Fixed Parities with Neural Networks. - Xinru Meng, Han Sun, Jiamei Liu, Ningzhong Liu, Huiyu Zhou:
SPARNet: Continual Test-Time Adaptation via Sample Partitioning Strategy and Anti-Forgetting Regularization. - Han Xu, Mingqi Chen, Gaofeng Li, Lei Wei, Shichi Peng, Haoliang Xu, Qiang Li:
An Immersive Virtual Reality Bimanual Telerobotic System With Haptic Feedback. - Zhenyu Guo, Wenguang Chen:
Decoupling Knowledge and Reasoning in Transformers: A Modular Architecture with Generalized Cross-Attention. - Rongke Liu:
Information Sifting Funnel: Privacy-preserving Collaborative Inference Against Model Inversion Attacks. - Chun-Hsiung Tseng, Hao-Chiang Koong Lin, Andrew Chih-Wei Huang, Jia-Rou Lin:
Personalized Programming Education: Using Machine Learning to Boost Learning Performance Based on Students' Personality Traits. - Benjamin Icard, Evangelia Zve, Lila Sainero, Alice Breton, Jean-Gabriel Ganascia:
Embedding Style Beyond Topics: Analyzing Dispersion Effects Across Different Language Models. - Haoxiang Tian, Xingshuo Han, Guoquan Wu, An Guo, Yuan Zhou, Jie Zhang, Shuo Li, Jun Wei, Tianwei Zhang:
An LLM-Empowered Adaptive Evolutionary Algorithm For Multi-Component Deep Learning Systems. - Adam Ishay, Joohyung Lee:
LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning about Actions. - Deepu Benson, Balagopal Komarath, Jayalal Sarma, Nalli Sai Soumya:
Hazard-free Decision Trees. - Gur Elkin, Ofir Itzhak Shahar, Yaniv Ohayon, Nadav Alali, Ohad Ben-Shahar:
Recognizing Artistic Style of Archaeological Image Fragments Using Deep Style Extrapolation. - Qianang Zhou, Junhui Hou, Meiyi Yang, Yongjian Deng, Youfu Li, Junlin Xiong:
Spatially-guided Temporal Aggregation for Robust Event-RGB Optical Flow Estimation. - Yulong Ye, Tao Chen, Miqing Li:
Distilled Lifelong Self-Adaptation for Configurable Systems. - Rui Meng, Song Gao, Dayu Fan, Haixiao Gao, Yining Wang, Xiaodong Xu, Bizhu Wang, Suyu Lv, Zhidi Zhang, Mengying Sun, Shujun Han, Chen Dong, Xiaofeng Tao, Ping Zhang:
A Survey of Secure Semantic Communications. - Nathanael L. Baisa:
FusionSORT: Fusion Methods for Online Multi-object Visual Tracking. - Yiming Zhang, Zicheng Zhang, Xinyi Wei, Xiaohong Liu, Guangtao Zhai, Xiongkuo Min:
IllusionBench: A Large-scale and Comprehensive Benchmark for Visual Illusion Understanding in Vision-Language Models. - Luigi C. Berselli, Alex Kaltenbach, Seungchan Ko:
Error analysis for a fully-discrete finite element approximation of the unsteady p(·,·)-Stokes equations. - Kun Li, George Vosselman, Michael Ying Yang:
Scale-wise Bidirectional Alignment Network for Referring Remote Sensing Image Segmentation. - Van Quang Nguyen, Quoc Chuong Nguyen, Thu Huong Dang, Truong-Son Hy:
Hybridising Reinforcement Learning and Heuristics for Hierarchical Directed Arc Routing Problems. - Lynnette Hui Xian Ng, Kathleen M. Carley:
What is a Social Media Bot? A Global Comparison of Bot and Human Characteristics. - Hashim A. Hashim:
Advances in UAV Avionics Systems Architecture, Classification and Integration: A Comprehensive Review and Future Perspectives. - Abdoul Karim A. H. Saliah, Hajar El Hammouti, Daniel Bonilla Licea:
Harnessing the Potential of Omnidirectional UAVs in RIS-Enabled Wireless Networks. - Yongjie Yang:
On the Parameterized Complexity of Controlling Amendment and Successive Winners. - Tian Zheng, Xurong Xie, Xiaolan Peng, Hui Chen, Feng Tian:
Alzheimer's disease detection based on large language model prompt engineering. - Wei Shao, Mingyang Liu, Linqi Song:
DiffETM: Diffusion Process Enhanced Embedded Topic Model. - Nicholas Magal, Minh Tran, Riku Arakawa, Suzanne Nie:
Negative to Positive Co-learning with Aggressive Modality Dropout. - Mihnea C. Moldoveanu, George Siemens:
Interactionalism: Re-Designing Higher Learning for the Large Language Agent Era. - Shoutao Guo, Shaolei Zhang, Zhengrui Ma, Yang Feng:
Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation. - Yi Zhang, Bin Lei, Mohamadamin Rajabinezhad, Caiwen Ding, Shan Zuo:
Observer-Based Data-Driven Consensus Control for Nonlinear Multi-Agent Systems against DoS and FDI attacks. - Mingjia Li, Shuang Li, Tongrui Su, Longhui Yuan, Jian Liang, Wei Li:
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation. - Hieu Man, Nghia Trung Ngo, Viet Dac Lai, Ryan A. Rossi, Franck Dernoncourt, Thien Huu Nguyen:
LUSIFER: Language Universal Space Integration for Enhanced Multilingual Embeddings with Large Language Models. - Bingyu Li, Da Zhang, Zhiyuan Zhao, Junyu Gao, Xuelong Li:
FGAseg: Fine-Grained Pixel-Text Alignment for Open-Vocabulary Semantic Segmentation. - Huichi Zhou, Kin-Hei Lee, Zhonghao Zhan, Yue Chen, Zhenhao Li, Zhaoyang Wang, Hamed Haddadi, Emine Yilmaz:
TrustRAG: Enhancing Robustness and Trustworthiness in RAG. - Teng Hu, Jiangning Zhang, Ran Yi, Jieyu Weng, Yabiao Wang, Xianfang Zeng, Zhucun Xue, Lizhuang Ma:
Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction. - Fouad Bousetouane:
Agentic Systems: A Guide to Transforming Industries with Vertical AI Agents. - Libin Lan, Lu Jiang, Tianshu Yu, Xiaojuan Liu, Zhongshi He:
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization. - Yuang Chen, Chengdi Lu, Yongsheng Huang, Chang Wu, Fengqian Guo, Hancheng Lu, Chang Wen Chen:
DMSA: A Decentralized Microservice Architecture for Edge Networks. - Qi Li, Zhiguang Cao, Yining Ma, Yaoxin Wu, Yue-Jiao Gong:
Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning. - Cameron C. Yetman:
Representation in large language models. - Travis Askham, Jeremy G. Hoskins, Peter Nekrasov, Manas Rachh:
Integral equations for flexural-gravity waves: analysis and numerical methods. - Weiqi Wu, Shen Huang, Yong Jiang, Pengjun Xie, Fei Huang, Hai Zhao:
Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization. - Syamantak Datta Gupta:
Evaluating Time Series Foundation Models on Noisy Periodic Time Series. - Ouhan Huang, Huanle Rao, Xiaowen Cai, Tianyun Wang, Aolong Sun, Sizhe Xing, Yifan Sun, Gangyong Jia:
Spatial Temporal Attention based Target Vehicle Trajectory Prediction for Internet of Vehicles. - Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C. S. Lui:
Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts. - Chenyang Liu, Keyan Chen, Rui Zhao, Zhengxia Zou, Zhenwei Shi:
Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model. - Lloyd N. Trefethen:
Numerical computation of the Schwarz function. - Lloyd N. Trefethen:
Rational approximation. - Talha Zeeshan, Abhishek Kumar, Susanna Pirttikangas, Sasu Tarkoma:
Large Language Model Based Multi-Agent System Augmented Complex Event Processing Pipeline for Internet of Multimedia Things. - Jiaxin Song, Xinyu Wang, Yihao Wang, Yifan Tang, Ru Zhang, Jianyi Liu, Gongshen Liu:
U-GIFT: Uncertainty-Guided Firewall for Toxic Speech in Few-Shot Scenario. - Dongnan Xia, Cunhua Pan, Hong Ren, Zhiyuan Yu, Yasheng Jin, Jiangzhou Wang:
RIS-Aided Integrated Sensing and Communication Systems under Dual-polarized Channels. - Yang Li, Meng Han, Zhenyu Bi, Ingolv T. Urnes, Haipeng Chen:
Population Aware Diffusion for Time Series Generation. - David Wu, Sanjiban Choudhury:
Aligning LLMs with Domain Invariant Reward Models. - Jiaxin Ge, Zora Zhiruo Wang, Xuhui Zhou, Yi-Hao Peng, Sanjay Subramanian, Qinyue Tan, Maarten Sap, Alane Suhr, Daniel Fried, Graham Neubig, Trevor Darrell:
AutoPresent: Designing Structured Visuals from Scratch. - Hongming Zhang, Fengshuo Bai, Chenjun Xiao, Chao Gao, Bo Xu, Martin Müller:
β-DQN: Improving Deep Q-Learning By Evolving the Behavior. - Julia Briden, Breanna Johnson, Richard Linares, Abhishek Cauligi:
Diffusion Policies for Generative Modeling of Spacecraft Trajectories. - Emily Johnson, Noah Wilson:
Hierarchical Vision-Language Alignment for Text-to-Image Generation via Diffusion Models. - Nahid Torbati, Michael Gaebler, Simon M. Hofmann, Nico Scherf:
Exploring Geometric Representational Alignment through Ollivier-Ricci Curvature and Ricci Flow. - Sakshi Garg, Jose Renau:
Aligning Netlist to Source Code using SynAlign. - Xiaoyi Wu, Bo Ji, Bin Li:
On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit. - Michael Dinitz, George Z. Li, Quanquan C. Liu, Felix Zhou:
Differentially Private Matchings. - Mallika Garg, Debashis Ghosh, Pyari Mohan Pradhan:
Multiscaled Multi-Head Attention-based Video Transformer Network for Hand Gesture Recognition. - Oliver A. Krzysik, Ben S. Southworth, Bobby Philip:
Overlapping Schwarz methods are not anisotropy-robust multigrid smoothers. - Tiziano Piccardi, Robert West:
Navigating Knowledge: Patterns and Insights from Wikipedia Consumption. - Shihab Ahmed, A. B. M. Mohaimenur Rahman, Md. Morshed Alam, Md Sajidul Islam Sajid:
SPADE: Enhancing Adaptive Cyber Deception Strategies with Generative AI and Structured Prompt Engineering. - Junhuan Yang, Yuzhou Zhang, Yi Sheng, Youzuo Lin, Lei Yang:
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset. - Lukas Kuhn, Sari Sadiya, Jörg Schlötterer, Christin Seifert, Gemma Roig:
Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers. - Hao Wang, Xiwen Chen, Ashish Bastola, Jiayou Qin, Abolfazl Razi:
Diffusion Prism: Enhancing Diversity and Morphology Consistency in Mask-to-Image Diffusion. - Omid Saghatchian, Atiyeh Gh. Moghadam, Ahmad Nickabadi:
Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model. - Cleverson Veloso Nahum, Salvatore D'Oro, Pedro Batista, Cristiano Both, Kleber Vieira Cardoso, Aldebaro Klautau, Tommaso Melodia:
Intent-based Radio Scheduler for RAN Slicing: Learning to deal with different network scenarios. - Casey Kennington, Pierre Lison, David Schlangen:
Incremental Dialogue Management: Survey, Discussion, and Implications for HRI. - Junfeng Jiao, Saleh Afroogh, Kevin Chen, David Atkinson, Amit Dhurandhar:
Generative AI and LLMs in Industry: A text-mining Analysis and Critical Evaluation of Guidelines and Policy Statements Across Fourteen Industrial Sectors. - Wenqi Zhang, Hang Zhang, Xin Li, Jiashuo Sun, Yongliang Shen, Weiming Lu, Deli Zhao, Yueting Zhuang, Lidong Bing:
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining. - Junfeng Jiao, Saleh Afroogh, Kevin Chen, David Atkinson, Amit Dhurandhar:
IGGA: A Dataset of Industrial Guidelines and Policy Statements for Generative AIs. - Chenyu You, Haocheng Dai, Yifei Min, Jasjeet S. Sekhon, Sarang C. Joshi, James S. Duncan:
The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations. - Sepehr Dehdashtian, Gautam Sreekumar, Vishnu Naresh Boddeti:
OASIS Uncovers: High-Quality T2I Models, Same Old Stereotypes. - Jasper Roe, Mike Perkins, Leon Furze:
From Assessment to Practice: Implementing the AIAS Framework in EFL Teaching and Learning. - Amir Mohammad Ebrahimi, Bram Adams, Gustavo Ansaldi Oliva, Ahmed E. Hassan:
A Large-Scale Exploratory Study on the Proxy Pattern in Ethereum. - Yichao Wang, Mohamadamin Rajabinezhad, Rui Liu, Shan Zuo:
Defense Strategies for Autonomous Multi-agent Systems: Ensuring Safety and Resilience Under Exponentially Unbounded FDI Attacks. - Daniel Silver, Ron Kimmel:
CoordFlow: Coordinate Flow for Pixel-wise Neural Video Representation. - Michele Flammini, Maria Fomenko, Giovanna Varricchio:
Non-obvious Manipulability in Hedonic Games with Friends Appreciation Preferences. - Devashish R. Purandare, Peter Alvaro, Avani Wildani, Darrell D. E. Long, Ethan L. Miller:
Host-guided data placement: whose job is it anyway? - Federico Ravenda, Seyed Ali Bahrainian, Andrea Raballo, Antonietta Mira, Noriko Kando:
Are LLMs effective psychological assessors? Leveraging adaptive RAG for interpretable mental health screening through psychometric practice. - Shiran Dudy:
Search Plurality. - Santiago Aranguri, Giulio Biroli, Marc Mézard, Eric Vanden-Eijnden:
Optimizing Noise Schedules of Generative Models in High Dimensionss. - Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni:
Bootstrapped Reward Shaping. - Yichao Wang, Mohamadamin Rajabinezhad, Yi Zhang, Shan Zuo:
Cyber-physical Defense for Heterogeneous Multi-agent Systems Against Exponentially Unbounded Attacks on Signed Digraphs. - Jungho Ahn, Hugo Jacob, Noleen Köhler, Christophe Paul, Amadeus Reinald, Sebastian Wiederrecht:
Twin-width one. - Yao Xiao, Nikos Kanakaris, Anzhe Cheng, Chenzhong Yin, Nesreen K. Ahmed, Shahin Nazarian, Andrei Irimia, Paul Bogdan:
Exploiting Application-to-Architecture Dependencies for Designing Scalable OS. - Shreya G. Upadhyay, Woan-Shiuan Chien, Chi-Chun Lee:
Is It Still Fair? Investigating Gender Fairness in Cross-Corpus Speech Emotion Recognition. - Davoud Mirzaei:
Stochastic Simulation and Monte Carlo Method. - Zhou Yang, Zhengyu Qi, Zhaochun Ren, Zhikai Jia, Haizhou Sun, Xiaofei Zhu, Xiangwen Liao:
Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory. - D. Isaiah Harp, Joshua Ott, Dylan M. Asmar, John Alora, Mykel J. Kochenderfer:
Physics-informed Gaussian Processes for Safe Envelope Expansion. - Yusi Wei, Hande Y. Benson, Joseph Agor, Muge Capan:
Multi-Objective Optimization-Based Anonymization of Structured Data for Machine Learning. - Ao Gao, Luosong Guo, Tao Chen, Zhao Wang, Ying Tai, Jian Yang, Zhenyu Zhang:
EasySplat: View-Adaptive Learning makes 3D Gaussian Splatting Easy. - Zihao Ye, Lequn Chen, Ruihang Lai, Wuwei Lin, Yineng Zhang, Stephanie Wang, Tianqi Chen, Baris Kasikci, Vinod Grover, Arvind Krishnamurthy, Luis Ceze:
FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving. - Yan Gu, Zhaoze Liu, Shuhong Dai, Cong Liu, Ying Wang, Shen Wang, Georgios Theodoropoulos, Long Cheng:
Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review. - Mohammad Shahab Sepehri, Asal Mehradfar, Mahdi Soltanolkotabi, Salman Avestimehr:
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction. - Khalid A. Alobaid, Jason T. L. Wang, Haimin Wang, Ju Jing, Yasser Abduallah, Zhenduo Wang, Hameedullah Farooki, Huseyin Cavus, Vasyl Yurchyshyn:
Prediction of Geoeffective CMEs Using SOHO Images and Deep Learning. - Chengze Zhang, Changshan Li, Shiyang Gao:
MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model. - Zhaoyu Chen, Haijing Guo, Kaixun Jiang, Jiyuan Fu, Xinyu Zhou, Dingkang Yang, Hao Tang, Bo Li, Wenqiang Zhang:
Boosting Adversarial Transferability with Spatial Adversarial Alignment. - Anna Grim, Jayaram Chandrashekar, Uygar Sümbül:
Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function. - Ziyang Chen, Yongjun Zhang, Wenting Li, Bingshu Wang, Yabo Wu, Yong Zhao, C. L. Philip Chen:
Hadamard Attention Recurrent Transformer: A Strong Baseline for Stereo Matching Transformer. - Xiaopeng Ke:
Towards Adversarially Robust Deep Metric Learning. - Iqra Batool:
RealTime Health Monitoring Using 5G Networks: A Deep Learning-Based Architecture for Remote Patient Care. - Xinshuo Hu, Zifei Shan, Xinping Zhao, Zetian Sun, Zhenyu Liu, Dongfang Li, Shaolin Ye, Xinyuan Wei, Qian Chen, Baotian Hu, Haofen Wang, Jun Yu, Min Zhang:
KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model. - Harshika Goyal, Mohammad Saif Wajid, Mohd Anas Wajid, Akib Mohi Ud Din Khanday, Mehdi Neshat, Amir Gandomi:
State-of-the-art AI-based Learning Approaches for Deepfake Generation and Detection, Analyzing Opportunities, Threading through Pros, Cons, and Future Prospects. - Mayi Xu, Yunfeng Ning, Yongqi Li, Jianhao Chen, Jintao Wen, Yao Xiao, Shen Zhou, Birong Pan, Zepeng Bao, Xin Miao, Hankun Kang, Ke Sun, Tieyun Qian:
Reasoning based on symbolic and parametric knowledge bases: a survey. - Wonduk Seo, Zonghao Yuan, Yi Bu:
ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning. - Huashan Chen, Yifan Xu, Yue Feng, Ming Jian, Feng Liu, Pengfei Hu, Kebin Peng, Sen He, Zi Wang:
DynamicLip: Shape-Independent Continuous Authentication via Lip Articulator Dynamics. - Bin Wang, Xunlong Zou, Shuo Sun, Wenyu Zhang, Yingxu He, Zhuohan Liu, Chengwei Wei, Nancy F. Chen, AiTi Aw:
Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal Models. - Xiaoshuai Hao, Guanqun Liu, Yuting Zhao, Yuheng Ji, Mengchuan Wei, Haimei Zhao, Lingdong Kong, Rong Yin, Yu Liu:
MSC-Bench: Benchmarking and Analyzing Multi-Sensor Corruption for Driving Perception. - Chen Shang, Jiadong Yu, Dinh Thai Hoang:
Energy-Efficient and Intelligent ISAC in V2X Networks with Spiking Neural Networks-Driven DRL. - Yixing Xu, Shivank Nag, Dong Li, Lu Tian, Emad Barsoum:
MSWA: Refining Local Attention with Multi-ScaleWindow Attention. - Jingkai Sun, Qiang Zhang, Jiaxu Wang, Jiahang Cao, Renjing Xu:
Event Masked Autoencoder: Point-wise Action Recognition with Event-Based Cameras. - Linhao Huang, Xue Jiang, Zhiqiang Wang, Wentao Mo, Xi Xiao, Bo Han, Yongjie Yin, Feng Zheng:
Image-based Multimodal Models as Intruders: Transferable Multimodal Attacks on Video-based MLLMs. - Lingzhi Zhao, Ying Cui, Yuhang Jia, Yunfei Zhang, Klara Nahrstedt:
Enhancing Neural Adaptive Wireless Video Streaming via Lower-Layer Information Exposure and Online Tuning. - Tao Feng, Wei Li, Didi Zhu, Hangjie Yuan, Wendi Zheng, Dan Zhang, Jie Tang:
ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think. - Youngjun Son, Chaewon Kim, Jaejin Lee:
FED: Fast and Efficient Dataset Deduplication Framework with GPU Acceleration. - Song Zhang, Zhiwei Wei, Wenjia Xu, Lili Zhang, Yang Wang, Jinming Zhang, Junyi Liu:
TS-SatMVSNet: Slope Aware Height Estimation for Large-Scale Earth Terrain Multi-view Stereo. - Yifei Zhou, Thomas Kämpfe, Kai Ni, Hussam Amrouch, Cheng Zhuo, Xunzhao Yin:
TReCiM: Lower Power and Temperature-Resilient Multibit 2FeFET-1T Compute-in-Memory Design. - Zeyao Ma, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang:
Dynamic Scaling of Unit Tests for Code Reward Modeling. - Rida Qadri, Aida Mostafazadeh Davani, Kevin Robinson, Vinodkumar Prabhakaran:
Risks of Cultural Erasure in Large Language Models. - Abrar Hossain, Abdel-Hameed A. Badawy, Mohammad A. Islam, Tapasya Patki, Kishwar Ahmed:
HPC Application Parameter Autotuning on Edge Devices: A Bandit Learning Approach. - Yanwen Huang, Yong Zhang, Ning Cheng, Zhitao Li, Shaojun Wang, Jing Xiao:
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models. - Shaokang Xie, Dakai Kang, Hanzheng Lyu, Jianyu Niu, Mohammad Sadoghi:
Fides: Scalable Censorship-Resistant DAG Consensus via Trusted Components. - Sathwik Narkedimilli, Amballa Venkata Sriram, Sujith Makam, MSVPJ Sathvik, Sai Prashanth Mallellu:
FAPL-DM-BC: A Secure and Scalable FL Framework with Adaptive Privacy and Dynamic Masking, Blockchain, and XAI for the IoVs. - Qiya Song, Jiajun Hu, Lin Xiao, Bin Sun, Xieping Gao, Shutao Li:
DiffCL: A Diffusion-Based Contrastive Learning Framework with Semantic Alignment for Multimodal Recommendations. - Alireza Safarzadeh, Mohammad Reza Jamali, Behzad Moshiri:
Enhancing Precision of Automated Teller Machines Network Quality Assessment: Machine Learning and Multi Classifier Fusion Approaches. - Nathan Cassee, Neil A. Ernst, Nicole Novielli, Alexander Serebrenik:
Negativity in Self-Admitted Technical Debt: How Sentiment Influences Prioritization. - Md Osama, Ashim Dey, Kawsar Ahmed, Muhammad Ashad Kabir:
BeliN: A Novel Corpus for Bengali Religious News Headline Generation using Contextual Feature Fusion. - Solmaz S. Kia:
Submodular Maximization Subject to Uniform and Partition Matroids: From Theory to Practical Applications and Distributed Solutions. - Jiang Shang, Yuanmeng Wu, Xiaoxiang Han, Xi Chen, Qi Zhang:
Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images. - Xiaohui Chen, Yinkai Wang, Jiaxing He, Yuanqi Du, Soha Hassoun, Xiaolin Xu, Li-Ping Liu:
Graph Generative Pre-trained Transformer. - Yipeng Liang, Qimei Chen, Guangxu Zhu, Muhammad Kaleem Awan, Hao Jiang:
Communication-and-Computation Efficient Split Federated Learning: Gradient Aggregation and Resource Management. - Jamil Ispahany, MD Rafiqul Islam, M. Arif Khan, Md Zahidul Islam:
iCNN-LSTM: A batch-based incremental ransomware detection system using Sysmon. - Chenglu Sun, Shuo Shen, Wenzhi Tao, Deyi Xue, Zixia Zhou:
Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning. - Syed Tahir Hussain Rizvi, Neel Kanwal, Muddasar Naeem, Alfredo Cuzzocrea, Antonio Coronato:
Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series Prediction. - Jamil Ispahany, MD Rafiqul Islam, M. Arif Khan, Md Zahidul Islam:
A Sysmon Incremental Learning System for Ransomware Analysis and Detection. - Yixu Wang, Tianle Gu, Yan Teng, Yingchun Wang, Xingjun Ma:
HoneypotNet: Backdoor Attacks Against Model Extraction. - Suhwan Choi, Kyu Won Kim, Myungjoo Kang:
MMVA: Multimodal Matching Based on Valence and Arousal across Images, Music, and Musical Captions. - Kun Wang, Roberto Armellin, Adam Evans, Harry Holt, Zheng Chen:
Learning-Based Stable Optimal Guidance for Spacecraft Close-Proximity Operations. - Hong Zhang, Zhongjie Duan, Xingjun Wang, Yingda Chen, Yu Zhang:
EliGen: Entity-Level Controlled Image Generation with Regional Attention. - Daniel Rosin:
A fast algorithm for the Frobenius problem in three variables. - Shuo Yu, Shan Jin, Ming Li, Tabinda Sarwar, Feng Xia:
Long-range Brain Graph Transformer. - Jiwei Shan, Zeyu Cai, Cheng-Tai Hsieh, Shing Shin Cheng, Hesheng Wang:
Deformable Gaussian Splatting for Efficient and High-Fidelity Reconstruction of Surgical Scenes. - Anugunj Naman, Gaibo Zhang:
FAST: Fast Audio Spectrogram Transformer. - Grant Ruan, Munther A. Dahleh:
Temperature-Controlled Smart Charging for Electric Vehicles in Cold Climates. - Teng Li, Xingjun Ma, Yu-Gang Jiang:
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks. - Haina Zhu, Yizhi Zhou, Hangting Chen, Jianwei Yu, Ziyang Ma, Rongzhi Gu, Yi Luo, Wei Tan, Xie Chen:
MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization. - Xiusheng Xu, Lei Qi, Jingyang Zhou, Xin Geng:
BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization. - Jimin Park, AHyun Ji, Minji Park, Mohammad Saidur Rahman, Se Eun Oh:
MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification. - Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh:
Regularized Proportional Fairness Mechanism for Resource Allocation Without Money. - Dong Zhang, Kwang-Ting Cheng:
Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion. - Ali Safa, Ali Al-Zawqari:
Co-Design of a Robot Controller Board and Indoor Positioning System for IoT-Enabled Applications. - Zitong Xu, Huiyu Duan, Guangji Ma, Liu Yang, Jiarui Wang, Qingbo Wu, Xiongkuo Min, Guangtao Zhai, Patrick Le Callet:
HarmonyIQA: Pioneering Benchmark and Model for Image Harmonization Quality Assessment. - Rofiqul Islam, Nihad Karim Chowdhury, Muhammad Ashad Kabir:
Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation. - Humaira Kousar, Hasnain Irshad Bhatti, Jaekyun Moon:
Pruning-based Data Selection and Network Fusion for Efficient Deep Learning. - Xuan Yu, Yuxuan Xie, Yili Liu, Haojian Lu, Rong Xiong, Yiyi Liao, Yue Wang:
Leverage Cross-Attention for End-to-End Open-Vocabulary Panoptic Reconstruction. - Jian Lang, Zhangtao Cheng, Ting Zhong, Fan Zhou:
Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning. - Zhenyu Li, Wenqing Cui, Shariq Farooq Bhat, Peter Wonka:
PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation. - Junya Ono, Hiromi Wakaki:
TED: Turn Emphasis with Dialogue Feature Attention for Emotion Recognition in Conversation. - Shuo Yu, Yingbo Wang, Ruolin Li, Guchun Liu, Yanming Shen, Shaoxiong Ji, Bowen Li, Fengling Han, Xiuzhen Zhang, Feng Xia:
Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning. - Feng Han, Kai Chen, Chao Gong, Zhipeng Wei, Jingjing Chen, Yu-Gang Jiang:
DuMo: Dual Encoder Modulation Network for Precise Concept Erasure. - Xinyang Huang, Chuang Zhu, Ruiying Ren, Shengjie Liu, Tiejun Huang:
Source-free Semantic Regularization Learning for Semi-supervised Domain Adaptation. - Sihan Wang, Shangqi Gao, Fuping Wu, Xiahai Zhuang:
InDeed: Interpretable image deep decomposition with guaranteed generalizability. - Anugunj Naman, Aaron Ault, Yaguang Zhang, James V. Krogmeier:
Automating Work Orders and Tracking Winter Snow Plows and Patrol Vehicles with Telematics Data. - Jingyi Cui, Yi-Ge Zhang, Hengyu Liu, Yisen Wang:
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise. - Zhen Tao, Shidong Pan, Zhenchang Xing, Xiaoyu Sun, Omar Haggag, John C. Grundy, Ze Shi Li, Jingjie Li, Liming Zhu:
Privacy Bills of Materials: A Transparent Privacy Information Inventory for Collaborative Privacy Notice Generation in Mobile App Development. - Francisco Alejandro Mena, Diego Arenas, Andreas Dengel:
Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning Approach. - Nikolaos Bousias, Stefanos Pertigkiozoglou, Kostas Daniilidis, George J. Pappas:
Symmetries-enhanced Multi-Agent Reinforcement Learning. - Maojun Zhang, Haotian Wu, Guangxu Zhu, Richeng Jin, Xiaoming Chen, Deniz Gündüz:
Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission. - Min Whoo Lee, Kibeom Kim, Soo Wung Shin, Minsu Lee, Byoung-Tak Zhang:
Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning. - Ruichen Zhang, Changyuan Zhao, Hongyang Du, Dusit Niyato, Jiacheng Wang, Suttinee Sawadsitang, Xuemin Shen, Dong In Kim:
Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method. - Yuxiang Yang, Xinyi Zeng, Pinxian Zeng, Zu Chen, Binyu Yan, Jiliu Zhou, Yan Wang:
Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations. - Wonsuk Jang, Thierry Tambe:
BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference. - Chenxi Xiong, Ting Yang, Yu Wang, Bing Dong:
PoVF: Empowering Decentralized Blockchain Systems with Verifiable Function Consensus. - Gopi Chand Ananthu, Riadul Islam:
Integrated AHB to APB Bridge Using Raspberry Pi and Artix-7 FPGA. - Yuxiang Chai, Hanhao Li, Jiayu Zhang, Liang Liu, Guozhi Wang, Shuai Ren, Siyuan Huang, Hongsheng Li:
A3: Android Agent Arena for Mobile GUI Agents. - Sagarnil Das:
Robot localization in a mapped environment using Adaptive Monte Carlo algorithm. - Timothe Presles, Cyrille Enderli, Gilles Burel, El Houssaïn Baghious:
Quantum Computing for Partition Function Estimation of a Markov Random Field in a Radar Anomaly Detection Problem. - Vriksha Srihari, R. Bhavya, Shruti Jayaraman, V. Mary Anita Rajam:
TexAVi: Generating Stereoscopic VR Video Clips from Text Descriptions. - Farshad Noravesh, Reza Haffari, Ong Huey Fang, Lay-Ki Soon, Sailaja Rajalana, Arghya Pal:
Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks. - Jiajun Deng, Tianyu He, Li Jiang, Tianyu Wang, Feras Dayoub, Ian D. Reid:
3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer. - Lixiong Qin, Ning Jiang, Yang Zhang, Yuhan Qiu, Dingheng Zeng, Jiani Hu, Weihong Deng:
Towards Interactive Deepfake Analysis. - Chengrui Gao, Ziyuan Yang, Wei Jia, Lu Leng, Bob Zhang, Andrew Beng Jin Teoh:
Deep Learning in Palmprint Recognition-A Comprehensive Survey. - Dinh Dung:
Weighted approximate sampling recovery and integration based on B-spline interpolation and quasi-interpolation. - Mahdi Zakizadeh, Mohammad Taher Pilehvar:
Blind Men and the Elephant: Diverse Perspectives on Gender Stereotypes in Benchmark Datasets. - Rostyslav Koroliuk, Vyacheslav Nykytyuk, Vitaliy Tymoshchuk, Veronika Soyka, Dmytro Tymoshchuk:
Automated monitoring of bee colony movement in the hive during winter season. - Soumyaratna Debnath, Harish Katti, Shashikant Verma, Shanmuganathan Raman:
L3D-Pose: Lifting Pose for 3D Avatars from a Single Camera in the Wild. - Seongho Hong, Yong-Hoon Choi:
RingFormer: A Neural Vocoder with Ring Attention and Convolution-Augmented Transformer. - Shuheng Chen, Junyi Fan, Armin Abdollahi, Negin Ashrafi, Kamiar Alaei, Greg Placencia, Maryam Pishgar:
Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases. - Dat Nguyen, Marcella Astrid, Anis Kacem, Enjie Ghorbel, Djamila Aouada:
Vulnerability-Aware Spatio-Temporal Learning for Generalizable and Interpretable Deepfake Video Detection. - Qingqing Ren, Wen Wang, Shuyong Zhu, Zhiyuan Wu, Yujun Zhang:
NET-SA: An Efficient Secure Aggregation Architecture Based on In-Network Computing. - Arslan Ali Syed, Majid Rostami-Shahrbabaki, Klaus Bogenberger:
Can Human Drivers and Connected Autonomous Vehicles Co-exist in Lane-Free Traffic? A Microscopic Simulation Perspective. - Mahdi Nazeri, Thom S. Badings, Sadegh Soudjani, Alessandro Abate:
Data-Driven Yet Formal Policy Synthesis for Stochastic Nonlinear Dynamical Systems. - Annika Bush, Amin Alibakhshi:
Bridging the Early Science Gap with Artificial Intelligence: Evaluating Large Language Models as Tools for Early Childhood Science Education. - Chaoyue Huang, Hanzhou Wu:
A Game Between the Defender and the Attacker for Trigger-based Black-box Model Watermarking. - Wenqian Cui, Xiangling Fu, Shaohui Liu, Mingjun Gu, Xien Liu, Ji Wu, Irwin King:
Data Augmentation Techniques for Chinese Disease Name Normalization. - Yulun Wu, Han Huang, Wenyuan Zhang, Chao Deng, Ge Gao, Ming Gu, Yu-Shen Liu:
Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views. - Kyoungkook Kang, Gyujin Sim, Geonung Kim, Donguk Kim, Seungho Nam, Sunghyun Cho:
LayeringDiff: Layered Image Synthesis via Generation, then Disassembly with Generative Knowledge. - Haiyong Wang:
On the deterioration of convergence rate of spectral differentiations for functions with singularities. - Tengfei Lyu, Md. Noor-A-Rahim, Dirk Pesch, Aisling O'Driscoll:
A Survey and Tutorial of Redundancy Mitigation for Vehicular Cooperative Perception: Standards, Strategies and Open Issues. - Aneesh Panchal, Kainat Khan, Rahul Katarya:
Empirical Analysis of Nature-Inspired Algorithms for Autism Spectrum Disorder Detection Using 3D Video Dataset. - Runsong Jia, Mengjia Wu, Ying Ding, Jie Lu, Yi Zhang:
HetGCoT-Rec: Heterogeneous Graph-Enhanced Chain-of-Thought LLM Reasoning for Journal Recommendation. - Abdullah M. Almasoud, Muhammad Rafay Naeem, Ibrahim Ghaznavi, Muhammad Imran Taj, Imran Hashmi, Junaid Qadir:
Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects. - Matej Mihelcic, Ivan Grubisic, Miha Keber:
A redescription mining framework for post-hoc explaining and relating deep learning models. - Yitong Zhu, Tangyao Li, Yuyang Wang:
Real-time Cross-modal Cybersickness Prediction in Virtual Reality. - Raul Tapia, Iván Gutierrez Rodríguez, Javier Luna-Santamaria, José Ramiro Martinez de Dios, Aníbal Ollero:
Range-Only Localization System for Small-Scale Flapping-Wing Robots. - Jiayu Li, Bingyin Zhao, Zilong Zhao, Kevin Yee, Uzair Javaid, Biplab Sikdar:
TabTreeFormer: Tabular Data Generation Using Hybrid Tree-Transformer. - Tianqi Song, Jack Jamieson, Tianwen Zhu, Naomi Yamashita, Yi-Chieh Lee:
From Interaction to Attitude: Exploring the Impact of Human-AI Cooperation on Mental Illness Stigma. - Aziida Nanyonga, Graham Wild:
Classification of Operational Records in Aviation Using Deep Learning Approaches. - Amil Bhagat, Milind Jain, A. V. Subramanyam:
Conditional Consistency Guided Image Translation and Enhancement. - Raphaël Ollando, Seung Yeob Shin, Mario Minardi, Nikolas Sidiropoulos:
Test Schedule Generation for Acceptance Testing of Mission-Critical Satellite Systems. - Aziida Nanyonga, Hassan Wasswa, Ugur Turhan, Keith F. Joiner, Graham Wild:
Comparative Analysis of Topic Modeling Techniques on ATSB Text Narratives Using Natural Language Processing. - Yongxian Wei, Anke Tang, Li Shen, Chun Yuan, Xiaochun Cao:
Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent. - Muhammet Balcilar, Bharath Bhushan Damodaran, Karam Naser, Franck Galpin, Pierre Hellier:
Exploiting Latent Properties to Optimize Neural Codecs. - Zhiyao Wang, Xu Chen, Chengming Xu, Junwei Zhu, Xiaobin Hu, Jiangning Zhang, Chengjie Wang, Yuqi Liu, Yiyi Zhou, Rongrong Ji:
SVFR: A Unified Framework for Generalized Video Face Restoration. - Yuancheng Jiang, Jianing Wang, Chuqi Zhang, Roland H. C. Yap, Zhenkai Liang, Manuel Rigger:
Enhanced Differential Testing in Emerging Database Systems. - Alexander Brinkmann, Christian Bizer:
Automated Self-Refinement and Self-Correction for LLM-based Product Attribute Value Extraction. - Junjie Yang, Haibo Wan, Zhihai Shang:
EHCTNet: Enhanced Hybrid of CNN and Transformer Network for Remote Sensing Image Change Detection. - Roberto Dias Algarte:
High-Order Tensor Regression in Sparse Convolutional Neural Networks. - Xiyuan Gao, Bing Cao, Pengfei Zhu, Nannan Wang, Qinghua Hu:
Asymmetric Reinforcing against Multi-modal Representation Bias. - Uzma Mushtaque:
An Efficient Attention Mechanism for Sequential Recommendation Tasks: HydraRec. - Lixiong Qin, Shilong Ou, Miaoxuan Zhang, Jiangning Wei, Yuhang Zhang, Xiaoshuai Song, Yuchen Liu, Mei Wang, Weiran Xu:
Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants. - Yongle Huang, Haodong Chen, Zhenbang Xu, Zihan Jia, Haozhou Sun, Dian Shao:
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization. - Qiyuan He, Jianfei Yu, Wenya Wang:
Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion. - Thorben Werner, Lars Schmidt-Thieme:
Bayesian Active Learning By Distribution Disagreement. - Oksana Mulesa, Petro Horvat, Tamara Radivilova, Volodymyr Sabadosh, Oleksii Baranovskyi, Sergii Duran:
Design of mechanisms for ensuring the execution of tasks in project planning. - Manuel Weber, Moritz Huber, Maximilian Auch, Alexander Döschl, Max-Emanuel Keller, Peter Mandl:
Digital Guardians: Can GPT-4, Perspective API, and Moderation API reliably detect hate speech in reader comments of German online newspapers? - Shanghaoran Quan, Jiaxi Yang, Bowen Yu, Bo Zheng, Dayiheng Liu, An Yang, Xuancheng Ren, Bofei Gao, Yibo Miao, Yunlong Feng, Zekun Wang, Jian Yang, Zeyu Cui, Yang Fan, Yichang Zhang, Binyuan Hui, Junyang Lin:
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings. - Fangyu Zhao, Chunhua Xiao, Zhiguo Wang, Xiaohua Du, Bo Dong:
Adaptive Hybrid FFT: A Novel Pipeline and Memory-Based Architecture for Radix-2k FFT in Large Size Processing. - Mengjie Qin, Yuchao Feng, Zongliang Wu, Yulun Zhang, Xin Yuan:
Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging. - Jiali Wei, Ming Fan, Xicheng Zhang, Wenjing Jiao, Haijun Wang, Ting Liu:
Stealthy Backdoor Attack to Real-world Models in Android Apps. - Xiaoshuai Song, Yanan Wu, Weixun Wang, Jiaheng Liu, Wenbo Su, Bo Zheng:
ProgCo: Program Helps Self-Correction of Large Language Models. - Michael Kölle, Johannes Tochtermann, Julian Schönberger, Gerhard Stenzel, Philipp Altmann, Claudia Linnhoff-Popien:
PIMAEX: Multi-Agent Exploration through Peer Incentivization. - Mohd Saif Ali Khan, Samar Agnihotri, Karthik R. M.:
Energy-Efficiency and Spectral-Efficiency Trade-off in Distributed Massive-MIMO Networks. - Mose Park, Yunjin Choi, Jong-June Jeon:
Does a Large Language Model Really Speak in Human-Like Language? - Leandro Di Bella, Yangxintong Lyu, Bruno Cornelis, Adrian Munteanu:
HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking. - Jingzhi Gong, Vardan Voskanyan, Paul Brookes, Fan Wu, Wei Jie, Jie Xu, Rafail Giavrimis, Mike Basios, Leslie Kanthan, Zheng Wang:
Language Models for Code Optimization: Survey, Challenges and Future Directions. - Shudong Liu, Yiqiao Jin, Cheng Li, Derek F. Wong, Qingsong Wen, Lichao Sun, Haipeng Chen, Xing Xie, Jindong Wang:
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries. - Xi Luo, Junjie Liu, Sirong Wu, Yuhui Deng:
NeutraSum: A Language Model can help a Balanced Media Diet by Neutralizing News Summaries. - Diego Vaquero-Melchor, Ana M. Bernardos, Luca Bergesio:
SARA: A Microservice-Based Architecture for Cross-Platform Collaborative Augmented Reality. - Burak Celik, Kivanc Dogan, Ezgi Taskin, Ayhan Akbal, Ahmet Orhan:
Optimized Relay Lens Design For High-Resolution Image Transmission In Military Target Detection Systems. - Vaskar Nath, Pranav Raja, Claire Yoon, Sean Hendryx:
ToolComp: A Multi-Tool Reasoning & Process Supervision Benchmark. - Yu-Han Huang, Argyrios Gerogiannis, Subhonmesh Bose, Venugopal V. Veeravalli:
Change Detection-Based Procedures for Piecewise Stationary MABs: A Modular Approach. - Zheng Lin, Yuxin Zhang, Zhe Chen, Zihan Fang, Cong Wu, Xianhao Chen, Yue Gao, Jun Luo:
LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks. - Harshith Gowrachari, Giovanni Stabile, Gianluigi Rozza:
Model Reduction for Transport-Dominated Problems via Cross-Correlation Based Snapshot Registration. - Yifan Ding, Matthew Facciani, Amrit Poudel, Ellen Joyce, Salvador Aguiñaga, Balaji Veeramani, Sanmitra Bhattacharya, Tim Weninger:
Citations and Trust in LLM Generated Responses. - Kaushik Roy, Harshul Surana, Darssan Eswaramoorthi, Yuxin Zi, Vedant Palit, Ritvik Garimella, Amit P. Sheth:
Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments - The Depression and Anxiety Case. - Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking. - Bohang Sun, Pietro Liò:
Multi-Head Explainer: A General Framework to Improve Explainability in CNNs and Transformers. - Ian T. Foster, Carl Kesselman:
Computational Grids. - Yi-Ge Zhang, Jingyi Cui, Qiran Li, Yisen Wang:
Understanding Difficult-to-learn Examples in Contrastive Learning: A Theoretical Framework for Spectral Contrastive Learning. - Jianyi Wang, Zhijie Lin, Meng Wei, Yang Zhao, Ceyuan Yang, Chen Change Loy, Lu Jiang:
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration. - Maya N. Keely, Brandon Franco, Casey Grothoff, Rajat Kumar Jenamani, Tapomayukh Bhattacharjee, Dylan P. Losey, Heramb Nemlekar:
Kiri-Spoon: A Kirigami Utensil for Robot-Assisted Feeding. - Shuya Tobari, Shuhei Tomoshige, Hayato Muraki, Kenichi Oishi, Hitoshi Iyatomi:
Domain-invariant feature learning in brain MR imaging for content-based image retrieval. - Victoria Khalfin Fekson, Nitsan Pri-Hadash, Netta Palez, Aviad Etzion, Itzik Klein:
Enhancement of Neural Inertial Regression Networks: A Data-Driven Perspective. - Shuzheng Gao, Chaozheng Wang, Cuiyun Gao, Xiaoqian Jiao, Chun Yong Chong, Shan Gao, Michael R. Lyu:
The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation. - Yanbo Fang, Ruixiang Tang:
Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension. - Simon Hachmeier, Robert Jäschke:
On the Robustness of Cover Version Identification Models: A Study Using Cover Versions from YouTube. - Krishna Sai Ketha, Guanqun Song, Ting Zhu:
Analysis of Security in OS-Level Virtualization. - Johan Wahréus, Ahmed Mohamed Hussain, Panos Papadimitratos:
CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models. - Yong Zhao, Yang Deng, See-Kiong Ng, Tat-Seng Chua:
Aligning Large Language Models for Faithful Integrity Against Opposing Argument. - Nikita Kostin:
Simultaneous Latent State Estimation and Latent Linear Dynamics Discovery from Image Observations. - Hao Wang, Zhichao Chen, Licheng Pan, Xiaoyu Jiang, Yichen Song, Qunshan He, Xinggao Liu:
DeepFilter: An Instrumental Baseline for Accurate and Efficient Process Monitoring. - Yifeng Qiu, Alexis Bose:
Machine Learning for Modeling Wireless Radio Metrics with Crowdsourced Data and Local Environment Features. - Dong Shu, Haiyan Zhao, Jingyu Hu, Weiru Liu, Lu Cheng, Mengnan Du:
Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability. - Jaehun Kim, Ji-Hoon Kim, Yeunju Choi, Tan Dat Nguyen, Seongkyu Mun, Joon Son Chung:
AdaptVC: High Quality Voice Conversion with Adaptive Learning. - Liang He, Yougang Chu, Zhen Wu, Jianbing Zhang, Xinyu Dai, Jiajun Chen:
Rethinking Relation Extraction: Beyond Shortcuts to Generalization with a Debiased Benchmark. - Chandreyee Roy, Kunal Bhattacharya, Kimmo Kaski:
Tracking behavioural differences across chronotypes: A case study in Finland using Oura rings. - Ewnetu Bayuh Lakew, Petter Svärd, Erik Elmroth, Johan Tordsson:
Optimising Virtual Resource Mapping in Multi-Level NUMA Disaggregated Systems. - Shian Wang, Jose Acedo Aguilar, Miguel Velez-Reyes:
Smoothing traffic flow through automated vehicle control with optimal parameter selection. - Michael Tao, Jiacheng Dai, Denis Zorin, Teseo Schneider, Daniele Panozzo:
Codimensional MultiMeshing: Synchronizing the Evolution of Multiple Embedded Geometries. - Austin T. Wang, ZeMing Gong, Angel X. Chang:
ViGiL3D: A Linguistically Diverse Dataset for 3D Visual Grounding. - Nathaniel Dennler, Stefanos Nikolaidis, Maja J. Mataric:
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation. - Z. Zhang, B. Liu, J. Bao, L. Chen, S. Zhu, J. Yu:
Test-time Controllable Image Generation by Explicit Spatial Constraint Enforcement. - Karthik Mohan, Pengyu Chen:
Embedding-based Approaches to Hyperpartisan News Detection. - Ben Vardi, Oron Nir, Ariel Shamir:
CLIP-UP: CLIP-Based Unanswerable Problem Detection for Visual Question Answering. - Tamim Ahmed, Zhaoyi Guo, Mohammod Shaikh Sadid Khan, Thanassis Rikakis, Aisling Kelliher:
Data Acquisition Through Participatory Design for Automated Rehabilitation Assessment. - Rasel Ahmed Bhuiyan, Mateusz Trokielewicz, Piotr Maciejewicz, Sherri L. Bucher, Adam Czajka:
Iris Recognition for Infants. - Yucheng Zhou, Lingran Song, Jianbing Shen:
Training Medical Large Vision-Language Models with Abnormal-Aware Feedback. - Yufeng Zhu:
BundleFit: Display and See-Through Models for Augmented Reality Head-Mounted Displays. - Xize Cheng, Dongjie Fu, Xiaoda Yang, Minghui Fang, Ruofan Hu, Jingyu Lu, Jionghao Bai, Zehan Wang, Shengpeng Ji, Rongjie Huang, Linjun Li, Yu Chen, Tao Jin, Zhou Zhao:
OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios. - Julian Barreiro-Gomez, Shinkyu Park:
Optimal Strategy Revision in Population Games: A Mean Field Game Theory Perspective. - Yidi Shao, Chen Change Loy, Bo Dai:
Learning 3D Garment Animation from Trajectories of A Piece of Cloth. - Jingjing Xu, Caesar Wu, Yuan-Fang Li, Grégoire Danoy, Pascal Bouvry:
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models. - Wesley Hanwen Deng, Wang Claire, Howard Ziyu Han, Jason I. Hong, Kenneth Holstein, Motahhare Eslami:
WeAudit: Scaffolding User Auditors and AI Practitioners in Auditing Generative AI. - Panagiotis I. Nikolaidis, Seyed Samie Mostafavi, James Gross, John S. Baras:
A Proof of Concept Resource Management Scheme for Augmented Reality Applications in 5G Systems. - Haixu Liu, Zerui Tao, Naihui Zhang, Sixing Liu:
Best Transition Matrix Esitimation or Best Label Noise Robustness Classifier? Two Possible Methods to Enhance the Performance of T-revision. - Kenneth Ge, Jooyoung Seo:
StereoMath: An Accessible and Musical Equation Editor. - Haixu Liu, Zerui Tao, Wenzhen Dong, Qiuzhuang Sun:
nnY-Net: Swin-NeXt with Cross-Attention for 3D Medical Images Segmentation. - Or Patashnik, Rinon Gal, Daniil Ostashev, Sergey Tulyakov, Kfir Aberman, Daniel Cohen-Or:
Nested Attention: Semantic-aware Attention Values for Concept Personalization. - Chun-Hao Paul Huang, Jae Shin Yoon, Hyeonho Jeong, Niloy J. Mitra, Duygu Ceylan:
On Unifying Video Generation and Camera Pose Estimation. - Gleb Kalachev, Pavel Panteleev:
Maximally Extendable Product Codes are Good Coboundary Expanders. - Yaxian Wang, Henghui Ding, Shuting He, Xudong Jiang, Bifan Wei, Jun Liu:
Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension. - Yoshitomo Matsubara, Matteo Mendula, Marco Levorato:
A Multi-task Supervised Compression Model for Split Computing. - Xudong Jiang, Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys:
R-SCoRe: Revisiting Scene Coordinate Regression for Robust Large-Scale Visual Localization. - Haixu Liu, Wenning Wang, Haoxiang Zheng, Penghao Jiang, Qirui Wang, Ruiqing Yan, Qiuzhuang Sun:
Multi-Modal Video Feature Extraction for Popularity Prediction. - Jingfeng Yao, Xinggang Wang:
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models. - Gaurav Parmar, Or Patashnik, Kuan-Chieh Wang, Daniil Ostashev, Srinivasa Narasimhan, Jun-Yan Zhu, Daniel Cohen-Or, Kfir Aberman:
Object-level Visual Prompts for Compositional Image Generation. - Xincheng Shuai, Henghui Ding, Zhenyuan Qin, Hao Luo, Xingjun Ma, Dacheng Tao:
Free-Form Motion Control: A Synthetic Video Generation Dataset with Controllable Camera and Object Motions. - Jihoon Chung, Tyler Zhu, Max Gonzalez Saez-Diez, Juan Carlos Niebles, Honglu Zhou, Olga Russakovsky:
Unifying Specialized Visual Encoders for Video Language Models. - Yuanpeng Tu, Hao Luo, Xi Chen, Sihui Ji, Xiang Bai, Hengshuang Zhao:
VideoAnydoor: High-fidelity Video Object Insertion with Precise Motion Control. - Zhangyang Qi, Zhixiong Zhang, Ye Fang, Jiaqi Wang, Hengshuang Zhao:
GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models. - DongYu Du, Yue Chan:
Item Association Factorization Mixed Markov Chains for Sequential Recommendation. - Christo Aluckal, Roopesh Vinodh Kumar Lal, Sean Courtney, Yash Turkar, Yashom Dighe, Young-Jin Kim, Jake Gemerek, Karthik Dantu:
TERA: A Simulation Environment for Terrain Excavation Robot Autonomy. - Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Luc Le Magoarou:
CSI Compression using Channel Charting. - Bassel El Mabsout:
Survey on safe robot control via learning. - Itsuki Maeda, Yasuhiro Inoue:
Mathematical Definition and Systematization of Puzzle Rules. - Mario Fritz:
Fundamental Risks in the Current Deployment of General-Purpose AI Models: What Have We (Not) Learnt From Cybersecurity? - Le Tieu Nien, Pham Van Cuong, Nguyen Phuc Anh, Vu Ngoc Son:
Toi uu hieu suat toc do dong co Servo DC su dung bo dieu khien PID ket hop mang no-ron. - Simon Kohaut, Benedict Flade, Daniel Ochs, Devendra Singh Dhami, Julian Eggert, Kristian Kersting:
Probabilistic Mission Design in Neuro-Symbolic Systems. - Aditya Bhattacharya, Simone Stumpf, Robin De Croon, Katrien Verbert:
Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems. - Aniket Shashikant Dhole:
Feedback Design and Implementation for Integrated Posture Manipulation and Thrust Vectoring. - Junqing Jia, Xiaoyun Jiang:
Optimal error bounds on an exponential wave integrator Fourier spectral method for fractional nonlinear Schrödinger equations with low regularity potential and nonlinearity. - Avinash Amballa, Gayathri Akkinapalli, Vinitra Muralikrishnan:
LS-GAN: Human Motion Synthesis with Latent-space GANs. - Maryna Kapitonova, Tonio Ball:
Human-AI Teaming Using Large Language Models: Boosting Brain-Computer Interfacing (BCI) and Brain Research. - Ali Rabeh, Ethan Herron, Aditya Balu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian:
Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries. - Diji Yang, Linda Zeng, Kezhen Chen, Yi Zhang:
Reinforcing Thinking through Reasoning-Enhanced Reward Models. - George Yuanji Wang, Srisharan Murugesan, Aditya Prince Rohatgi:
GAN-TAT: A Novel Framework Using Protein Interaction Networks in Druggable Gene Identification. - Lingrui Zhang, Haonan Wu, Nana Jin, Chenqing Zheng, Jize Xie, Qitai Cai, Jun Wang, Qin Cao, Xubin Zheng, Jiankun Wang, Lixin Cheng:
Pan-infection Foundation Framework Enables Multiple Pathogen Prediction. - Ben Nageris, Felipe Meneguzzi, Reuth Mirsky:
Goal Recognition using Actor-Critic Optimization. - Zhi-Hao Guan:
Balance-aware Sequence Sampling Makes Multi-modal Learning Better. - Nilesh Kumar Sahu, Snehil Gupta, Haroon R. Lone:
Assessing HRV and HR Dynamics with Wearables During Socially Anxious Situations: Insights from a Controlled Study in a Low-Middle-Income Country. - Peiliang Gong, Mohamed Ragab, Min Wu, Zhenghua Chen, Yongyi Su, Xiaoli Li, Daoqiang Zhang:
Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation. - Hadi Askari, Shivanshu Gupta, Terry Tong, Fei Wang, Anshuman Chhabra, Muhao Chen:
Unraveling Indirect In-Context Learning Using Influence Functions. - Shuangtao Li, Shuaihao Dong, Kexin Luan, Xinhan Di, Chaofan Ding:
Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search. - Kunpeng Xu, Lifei Chen, Shengrui Wang:
CORAL: Concept Drift Representation Learning for Co-evolving Time-series. - Nadja Willenborg:
Block components of generalized quaternion group codes. - Milan Jain, Burcu Ozcelik Mutlu, Caleb Stam, Jan Strube, Brian Schupbach, Jason Michael St. John, William A. Pellico:
AI-Enabled Operations at Fermi Complex: Multivariate Time Series Prediction for Outage Prediction and Diagnosis. - Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro:
Explainable Brain Age Gap Prediction in Neurodegenerative Conditions using coVariance Neural Networks. - Alireza Khataei, Kia Bazargan:
TreeLUT: An Efficient Alternative to Deep Neural Networks for Inference Acceleration Using Gradient Boosted Decision Trees. - Takeshi Tsukada, Hiroshi Unno, Oded Padon, Sharon Shoham:
A Primal-Dual Perspective on Program Verification Algorithms (Extended Version). - Mason Lary, Richard Samuelson, Alexander Wilentz, Alina Zare, Matthew Klawonn, James P. Fairbanks:
DiagrammaticLearning: A Graphical Language for Compositional Training Regimes. - Christopher Burger:
Improving Robustness Estimates in Natural Language Explainable AI though Synonymity Weighted Similarity Measures. - Naureen Hoque, Hanif Rahbari:
Securing Wi-Fi 6 Connection Establishment Against Relay and Spoofing Threats. - Oleksii Beznosov, Jesús Bonilla, Xianzhu Tang, Golo A. Wimmer:
High order interpolation of magnetic fields with vector potential reconstruction for particle simulations. - Mohammadreza M. Kalan, Eitan J. Neugut, Samory Kpotufe:
Transfer Neyman-Pearson Algorithm for Outlier Detection. - Bhavna Gopal, Huanrui Yang, Mark Horton, Yiran Chen:
SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers. - Logan Beaver:
A Global Games-Inspired Approach to Multi-Robot Task Allocation for Heterogeneous Teams. - Tobias Strauch:
Transaction Level Hierarchy Guided and Functional Coverage Driven Deductive Formal Verification. - Eugene Yu Ji:
A Metasemantic-Metapragmatic Framework for Taxonomizing Multimodal Communicative Alignment. - Yury Solyaev, Vasiliy Dobryanskiy:
Enriched C1 finite elements for crack problems in simplified strain gradient elasticity. - Vasanth Reddy Baddam, Behdad Chalaki, Vaishnav Tadiparthi, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Hoda Eldardiry, Almuatazbellah Boker:
In Search of a Lost Metric: Human Empowerment as a Pillar of Socially Conscious Navigation. - Kanishk Gandhi, Michael Y. Li, Lyle Goodyear, Louise Li, Aditi Bhaskar, Mohammed Zaman, Noah D. Goodman:
BoxingGym: Benchmarking Progress in Automated Experimental Design and Model Discovery. - Rasul Tutunov, Antoine Grosnit, Haitham Bou-Ammar:
Many of Your DPOs are Secretly One: Attempting Unification Through Mutual Information. - Jumana Almahmoud, Marc T. Facciotti, Michele Igo, Kamali Sripathi, David R. Karger:
Enhancing User Engagement in Large-Scale Social Annotation Platforms: Community-Based Design Interventions and Implications for Large Language Models (LLMs). - Shuguang Wang, Yuanjing Wang:
Task-Driven Fixation Network: An Efficient Architecture with Fixation Selection. - Viswa Virinchi Muppirala, Hong Qian:
Extended Information Geometry: Large Deviation Theory, Statistical Thermodynamics, and Empirical Counting Frequencies. - Lihao Wang:
Click-Calib: A Robust Extrinsic Calibration Method for Surround-View Systems. - Dylan Sam, Marc Finzi, J. Zico Kolter:
Predicting the Performance of Black-box LLMs through Self-Queries. - Mike Qin, Irving Solis, James Motes, Marco Morales, Nancy M. Amato:
K-ARC: Adaptive Robot Coordination for Multi-Robot Kinodynamic Planning. - S. David Mis, Matti Lassas, Maarten V. de Hoop:
Semialgebraic Neural Networks: From roots to representations. - Shiye Cao, Jiwon Moon, Amama Mahmood, Victor Nikhil Antony, Ziang Xiao, Anqi Liu, Chien-Ming Huang:
Interruption Handling for Conversational Robots. - Bibo Wu, Fang Fang, Xianbin Wang:
Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks. - Lunshuai Pan, Shiqing Wang, Pushen Zuo, Zhong Sun:
GRAMC: General-purpose and reconfigurable analog matrix computing architecture. - Yajie Ji, Yanlai Chen, Zhenli Xu:
VGPT-PINN: Viscosity-enhanced Generative Pre-Trained Physics Informed Neural Networks for parameterized nonlinear conservation laws. - Mohamed Hisham Abdellatif:
(WhyPHI) Fine-Tuning PHI-3 for Multiple-Choice Question Answering: Methodology, Results, and Challenges. - Honghu Chen, Bo Peng, Yunfan Tao, Juyong Zhang:
D3-Human: Dynamic Disentangled Digital Human from Monocular Video. - Guangqiang Wu, Fu Zhang:
Multivariate Time Series Anomaly Detection using DiffGAN Model. - Yinbo Yu, Saihao Yan, Xueyu Yin, Jing Fang, Jiajia Liu:
BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems. - Jingoo Lee, Kyungho Lim, Young-Chul Jung, Byung-Hoon Kim:
PSYCHE: A Multi-faceted Patient Simulation Framework for Evaluation of Psychiatric Assessment Conversational Agents. - Yao Ding, Weijie Kang, Aitao Yang, Zhili Zhang, Junyang Zhao, Jie Feng, Danfeng Hong, Qinhe Zheng:
Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral Image. - Yunzhe Li, Facheng Hu, Hongzi Zhu, Quan Liu, Xiaoke Zhao, Jiangang Shen, Shan Chang, Minyi Guo:
Prism: Mining Task-aware Domains in Non-i.i.d. IMU Data for Flexible User Perception. - Suizhi Huang, Xingyi Yang, Hongtao Lu, Xinchao Wang:
Few-shot Implicit Function Generation via Equivariance. - Jian Guan, Jiantong Tian, Qiaoxi Zhu, Feiyang Xiao, Hejing Zhang, Xubo Liu:
Disentangling Hierarchical Features for Anomalous Sound Detection Under Domain Shift. - Delaram Ghobari, Mohammad Hossein Amini, Dai Quoc Tran, Seunghee Park, Shiva Nejati, Mehrdad Sabetzadeh:
Test Input Validation for Vision-based DL Systems: An Active Learning Approach. - Ali Owfi, Jonathan D. Ashdown, Kurt A. Turck:
Online Meta-Learning Channel Autoencoder for Dynamic End-to-end Physical Layer Optimization. - Haixu Liu, Penghao Jiang, Zerui Tao:
Google is all you need: Semi-Supervised Transfer Learning Strategy For Light Multimodal Multi-Task Classification Model. - Adrian Hernandez, Max T. M. Ng, Nazib Siddique, Pablo L. Durango-Cohen, Amgad Elgowainy, Hani S. Mahmassani, Michael Wang, Yan Zhou:
Evaluation of Rail Decarbonization Alternatives: Framework and Application. - Max T. M. Ng, Meredith Raymer, Hani S. Mahmassani, Ismail Ömer Verbas, Taner Cokyasar:
Equity Impacts of Public Transit Network Redesign with Shared Autonomous Mobility Services. - Yun Zhu, Dong Zhang, Yi Lin, Yifei Feng, Jinhui Tang:
Merging Context Clustering with Visual State Space Models for Medical Image Segmentation. - Amirmohammad Bamdad, Ali Owfi, Fatemeh Afghah:
Adaptive Meta-learning-based Adversarial Training for Robust Automatic Modulation Classification. - Mehran Ebrahimi, Masayuki Yano:
A hyperreduced reduced basis element method for reduced-order modeling of component-based nonlinear systems. - Ziyang Yu, Yuyu Liu:
ICPC: In-context Prompt Compression with Faster Inference. - Stefan Zellmann:
Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI. - Nithyasri Narasimhan, Sagarika Singh:
Crossing Language Borders: A Pipeline for Indonesian Manhwa Translation. - Diego Huerta, Gerardo Arizmendi:
A Probabilistic Model for Node Classification in Directed Graphs. - Chen Liang, Donghua Yang, Zheng Liang, Zhiyu Liang, Tianle Zhang, Boyu Xiao, Yuqing Yang, Wenqi Wang, Hongzhi Wang:
Revisiting Data Analysis with Pre-trained Foundation Models. - Daewon Seo:
Integrated Communication and Bayesian Estimation of Fixed Channel States. - Zihao Wang, Yuxiang Wei, Fan Li, Renjing Pei, Hang Xu, Wangmeng Zuo:
ACE: Anti-Editing Concept Erasure in Text-to-Image Models. - Masaaki Fukumoto:
Whisphone: Whispering Input Earbuds. - Javier Marín:
A non-ergodic framework for understanding emergent capabilities in Large Language Models. - Ahmad Momani:
Implications of Artificial Intelligence on Health Data Privacy and Confidentiality. - Rini Smita Thakur, Vinod K. Kurmi:
Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation. - Shuhei Tomoshige, Hayato Muraki, Kenichi Oishi, Hitoshi Iyatomi:
iCBIR-Sli: Interpretable Content-Based Image Retrieval with 2D Slice Embeddings. - Tien Dang, Viet Thanh Duy Nguyen, Minh Tuan Le, Truong-Son Hy:
Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs. - Heqing Zou, Tianze Luo, Guiyang Xie, Victor Zhang, Fengmao Lv, Guangcong Wang, Junyang Chen, Zhuochen Wang, Hansheng Zhang, Huaijian Zhang:
HLV-1K: A Large-scale Hour-Long Video Benchmark for Time-Specific Long Video Understanding. - Kang Yi, Haoran Tang, Yumeng Li, Jing Xu, Jun Zhang:
Dual Mutual Learning Network with Global-local Awareness for RGB-D Salient Object Detection. - MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation. - Pu-Yun Kow, Pu-Zhao Kow:
An efficient light-weighted signal reconstruction method consists of Fast Fourier Transform and Convolutional-based Autoencoder. - Brij Nandan Tripathi, Hanumant Singh Shekhawat:
Enhanced Error Bounds For The Masked Projection Techniques via Cosine-Sine Decomposition. - Cai Yin, Zhouhong Gu, Du Zhaohan, Ye Zheyu, Cao Shaosheng, Xu Yiqian, Feng Hongwei, Chen Ping:
MIRAGE: Exploring How Large Language Models Perform in Complex Social Interactive Environments. - Danni Peng, Yuan Wang, Huazhu Fu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei:
Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning. - Haibo Li:
Krylov iterative methods for linear least squares problems with linear equality constraints. - Lituan Wang, Lei Zhang, Wang Yan, Zhenbin Wang, Zhenwei Zhang, Zhang Yi:
EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation. - Alexander Lam, Bo Li, Ankang Sun:
The (Exact) Price of Cardinality for Indivisible Goods: A Parametric Perspective. - Alaeddine Diaf, Abdelaziz Amara Korba, Nour El Islem Karabadji, Yacine Ghamri-Doudane:
BARTPredict: Empowering IoT Security with LLM-Driven Cyber Threat Prediction. - Yining She, Sumon Biswas, Christian Kästner, Eunsuk Kang:
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems. - Bohan Zhang, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang:
CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis. - Yikang Gui, Prashant Doshi:
Inversely Learning Transferable Rewards via Abstracted States. - Ruoyan Zhang, Zhongxiang Zheng, Bao Wankang:
Practical Secure Inference Algorithm for Fine-tuned Large Language Model Based on Fully Homomorphic Encryption. - Cunhang Fan, Youdian Gao, Zexu Pan, Jingjing Zhang, Hongyu Zhang, Jie Zhang, Zhao Lv:
Improved Feature Extraction Network for Neuro-Oriented Target Speaker Extraction. - Xuyuan Li, Zengqiang Shang, Li Wang, Pengyuan Zhang:
Controlling your Attributes in Voice. - Jie Peng, Shi Shu, Junxian Wang, Liuqiang Zhong:
A BDDC method for three-dimensional advection-diffusion problems with an adaptive coarse space. - Tengfei Wang, Xin Wang, Yongmao Hou, Yiwei Xu, Wendi Zhang, Zongqian Zhan:
PG-SAG: Parallel Gaussian Splatting for Fine-Grained Large-Scale Urban Buildings Reconstruction via Semantic-Aware Grouping. - Lei Tang, Jinghui Qin, Wenxuan Ye, Hao Tan, Zhijing Yang:
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models.
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