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2020 – today
- 2024
[j3]Lei Sha
, Thomas Lukasiewicz:
Text Attribute Control via Closed-Loop Disentanglement. Trans. Assoc. Comput. Linguistics 12: 190-209 (2024)- [j2]Louis Mahon, Lei Sha, Thomas Lukasiewicz:
Correcting Flaws in Common Disentanglement Metrics. Trans. Mach. Learn. Res. 2024 (2024) - [c38]Hao Wang, Hao Li, Minlie Huang, Lei Sha:
ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings. EMNLP 2024: 2697-2711 - [c37]Rui Li, Peiyi Wang, Jingyuan Ma, Di Zhang, Lei Sha, Zhifang Sui:
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming. EMNLP (Findings) 2024: 3287-3301 - [c36]Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang:
ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. EMNLP (Findings) 2024: 10420-10438 - [c35]Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha:
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator. EMNLP 2024: 10902-10919 - [c34]Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz:
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. ICLR 2024 - [i25]Hao Wang, Lei Sha:
Harnessing the Plug-and-Play Controller by Prompting. CoRR abs/2402.04160 (2024) - [i24]Hao Wang, Hao Li, Minlie Huang, Lei Sha:
From Noise to Clarity: Unraveling the Adversarial Suffix of Large Language Model Attacks via Translation of Text Embeddings. CoRR abs/2402.16006 (2024) - [i23]Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang:
ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. CoRR abs/2402.16444 (2024) - [i22]Guanhua Chen, Wenhan Yu, Lei Sha:
Unlocking Multi-View Insights in Knowledge-Dense Retrieval-Augmented Generation. CoRR abs/2404.12879 (2024) - [i21]Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha:
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator. CoRR abs/2405.18111 (2024) - [i20]Bofei Gao, Feifan Song, Yibo Miao, Zefan Cai, Zhe Yang, Liang Chen, Helan Hu, Runxin Xu, Qingxiu Dong, Ce Zheng, Wen Xiao, Ge Zhang, Daoguang Zan, Keming Lu, Bowen Yu, Dayiheng Liu, Zeyu Cui, Jian Yang, Lei Sha, Houfeng Wang, Zhifang Sui, Peiyi Wang, Tianyu Liu, Baobao Chang:
Towards a Unified View of Preference Learning for Large Language Models: A Survey. CoRR abs/2409.02795 (2024) - [i19]Cheng Qian, Hainan Zhang, Lei Sha, Zhiming Zheng:
HSF: Defending against Jailbreak Attacks with Hidden State Filtering. CoRR abs/2409.03788 (2024) - [i18]Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang:
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models. CoRR abs/2410.07985 (2024) - [i17]Xinyuan Wang, Victor Shea-Jay Huang, Renmiao Chen, Hao Wang, Chengwei Pan, Lei Sha, Minlie Huang:
BlackDAN: A Black-Box Multi-Objective Approach for Effective and Contextual Jailbreaking of Large Language Models. CoRR abs/2410.09804 (2024) - [i16]Qibing Ren, Hao Li, Dongrui Liu, Zhanxu Xie, Xiaoya Lu, Yu Qiao, Lei Sha, Junchi Yan, Lizhuang Ma, Jing Shao:
Derail Yourself: Multi-turn LLM Jailbreak Attack through Self-discovered Clues. CoRR abs/2410.10700 (2024) - 2023
- [j1]Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz:
Rationalizing predictions by adversarial information calibration. Artif. Intell. 315: 103828 (2023) - [i15]Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz:
Rationalizing Predictions by Adversarial Information Calibration. CoRR abs/2301.06009 (2023) - [i14]Lei Sha, Thomas Lukasiewicz:
Text Attribute Control via Closed-Loop Disentanglement. CoRR abs/2312.00277 (2023) - 2022
- [c33]Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Daxin Jiang, Kam-Fai Wong:
RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models. AACL/IJCNLP (1) 2022: 489-500 - [c32]Yuntao Li, Can Xu, Huang Hu, Lei Sha, Yan Zhang, Daxin Jiang:
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning. INTERSPEECH 2022: 2723-2727 - [i13]Lei Sha, Yuhang Song, Yordan Yordanov, Tommaso Salvatori, Thomas Lukasiewicz:
Bird-Eye Transformers for Text Generation Models. CoRR abs/2210.03985 (2022) - [i12]Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz:
Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. CoRR abs/2212.00720 (2022) - 2021
- [c31]Lei Sha, Thomas Lukasiewicz:
Multi-type Disentanglement without Adversarial Training. AAAI 2021: 9515-9523 - [c30]Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz:
Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration. AAAI 2021: 13771-13779 - [c29]Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz:
Controlling Text Edition by Changing Answers of Specific Questions. ACL/IJCNLP (Findings) 2021: 1288-1299 - [c28]Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories via Predictive Coding. NeurIPS 2021: 3874-3886 - [i11]Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz:
Controlling Text Edition by Changing Answers of Specific Questions. CoRR abs/2105.11018 (2021) - [i10]Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories via Predictive Coding. CoRR abs/2109.08063 (2021) - [i9]Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Kam-Fai Wong, Daxin Jiang:
Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph. CoRR abs/2110.07477 (2021) - [i8]Niall Taylor, Lei Sha, Dan W. Joyce, Thomas Lukasiewicz, Alejo J. Nevado-Holgado, Andrey Kormilitzin:
Rationale production to support clinical decision-making. CoRR abs/2111.07611 (2021) - [i7]Yuntao Li, Can Xu, Huang Hu, Lei Sha, Yan Zhang, Daxin Jiang:
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning. CoRR abs/2111.10154 (2021) - 2020
- [c27]Lei Sha:
Gradient-guided Unsupervised Lexically Constrained Text Generation. EMNLP (1) 2020: 8692-8703 - [c26]Lei Sha, Chen Shi, Qi Chen, Lintao Zhang, Houfeng Wang:
Estimating Minimum Operation Steps via Memory-based Recurrent Calculation Network. IJCNN 2020: 1-8 - [c25]Takashi Hosono, Lei Sha, Souma Yamamoto, Mayu Hirano, Takashi Ida, Anna Kuwana, Haruo Kobayashi, Yoichi Moroshima, Hiromichi Harakawa, Takeshi Oikawa:
Improved Nagata Current Source Insensitive to Temperature and Power Supply Voltage. ISOCC 2020: 151-152 - [c24]Lei Sha, Anna Kuwana, Masashi Horiguchi, Haruo Kobayashi:
Simple Reference Voltage Generation Circuit Insensitive to Temperature. ISOCC 2020: 242-243 - [i6]Lei Sha, Thomas Lukasiewicz:
Multi-type Disentanglement without Adversarial Training. CoRR abs/2012.08883 (2020) - [i5]Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz:
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration. CoRR abs/2012.08884 (2020)
2010 – 2019
- 2019
- [c23]Haruo Kobayashi, Kosuke Machida, Yuto Sasaki, Yusuke Osawa, Pengfei Zhang, Lei Sha, Yuki Ozawa, Anna Kuwana:
Fine Time Resolution TDC Architectures -Integral and Delta-Sigma Types. ASICON 2019: 1-4 - [c22]Jiang-Lin Wei, Takashi Ishida, Toshiyuki Okamoto, Tamotsu Ichikawa, Nene Kushita, Takahiro Arai, Lei Sha, Anna Kuwana, Haruo Kobayashi, Takayuki Nakatani, Kazumi Hatayama, Keno Sato:
High-Resolution Low-Sampling-Rate Δ∑ ADC Linearity Short-Time Testing Algorithm. ASICON 2019: 1-4 - [c21]Chen Shi, Qi Chen, Lei Sha, Hui Xue, Sujian Li, Lintao Zhang, Houfeng Wang:
We Know What You Will Ask: A Dialogue System for Multi-intent Switch and Prediction. NLPCC (1) 2019: 93-104 - 2018
- [c20]Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui:
Table-to-Text Generation by Structure-Aware Seq2seq Learning. AAAI 2018: 4881-4888 - [c19]Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui:
Order-Planning Neural Text Generation From Structured Data. AAAI 2018: 5414-5421 - [c18]Lei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang, Zhifang Sui:
A Multi-View Fusion Neural Network for Answer Selection. AAAI 2018: 5422-5429 - [c17]Lei Sha, Feng Qian, Baobao Chang, Zhifang Sui:
Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction. AAAI 2018: 5916-5923 - [c16]Chen Shi, Qi Chen, Lei Sha, Sujian Li, Xu Sun, Houfeng Wang, Lintao Zhang:
Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning. EMNLP 2018: 684-689 - 2017
- [c15]Xiaodong Zhang, Sujian Li, Lei Sha, Houfeng Wang:
Attentive Interactive Neural Networks for Answer Selection in Community Question Answering. AAAI 2017: 3525-3531 - [c14]Qiaolin Xia, Lei Sha, Baobao Chang, Zhifang Sui:
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data. ACL (1) 2017: 2069-2077 - [c13]Feng Qian, ChengYue Gong, Luchen Liu, Lei Sha, Ming Zhang:
Topic medical concept embedding: Multi-sense representation learning for medical concept. BIBM 2017: 404-409 - [c12]Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang:
Syntax Aware LSTM model for Semantic Role Labeling. SPNLP@EMNLP 2017: 27-32 - [c11]Lei Sha, Feng Qian, Zhifang Sui:
Will Repeated Reading Benefit Natural Language Understanding? NLPCC 2017: 366-379 - [r2]Lei Sha:
Image Compression. Encyclopedia of GIS 2017: 906-911 - [i4]Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang:
Syntax Aware LSTM Model for Chinese Semantic Role Labeling. CoRR abs/1704.00405 (2017) - [i3]Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui:
Order-Planning Neural Text Generation From Structured Data. CoRR abs/1709.00155 (2017) - [i2]Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui:
Table-to-text Generation by Structure-aware Seq2seq Learning. CoRR abs/1711.09724 (2017) - 2016
- [c10]Lei Sha, Jing Liu, Chin-Yew Lin, Sujian Li, Baobao Chang, Zhifang Sui:
RBPB: Regularization-Based Pattern Balancing Method for Event Extraction. ACL (1) 2016 - [c9]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Recognizing Textual Entailment via Multi-task Knowledge Assisted LSTM. CCL 2016: 285-298 - [c8]Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui:
Towards Time-Aware Knowledge Graph Completion. COLING 2016: 1715-1724 - [c7]Lei Sha, Baobao Chang, Zhifang Sui, Sujian Li:
Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition. COLING 2016: 2870-2879 - [c6]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang:
Capturing Argument Relationship for Chinese Semantic Role Labeling. EMNLP 2016: 2011-2016 - [c5]Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Encoding Temporal Information for Time-Aware Link Prediction. EMNLP 2016: 2350-2354 - [c4]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Joint Learning Templates and Slots for Event Schema Induction. HLT-NAACL 2016: 428-434 - [i1]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Joint Learning Templates and Slots for Event Schema Induction. CoRR abs/1603.01333 (2016) - 2015
- [c3]Li Li, Houfeng Wang, Xu Sun, Baobao Chang, Shi Zhao, Lei Sha:
Multi-label Text Categorization with Joint Learning Predictions-as-Features Method. EMNLP 2015: 835-839 - [c2]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang:
Recognizing Textual Entailment Using Probabilistic Inference. EMNLP 2015: 1620-1625 - 2014
- [c1]Tingsong Jiang, Lei Sha, Zhifang Sui:
Event Schema Induction Based on Relational Co-occurrence over Multiple Documents. NLPCC 2014: 23-33
2000 – 2009
- 2008
- [r1]Lei Sha:
Image Compression. Encyclopedia of GIS 2008: 472-475
Coauthor Index
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last updated on 2024-12-17 20:54 CET by the dblp team
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