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Bingning Wang
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2020 – today
- 2024
- [c16]Yuyan Zhou, Liang Song, Bingning Wang, Weipeng Chen:
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic. EMNLP 2024: 1711-1724 - [c15]Jie Chen, Yupeng Zhang, Bingning Wang, Xin Zhao, Ji-Rong Wen, Weipeng Chen:
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models. EMNLP (Findings) 2024: 14855-14865 - [i22]Xin Men, Mingyu Xu, Qingyu Zhang, Bingning Wang, Hongyu Lin, Yaojie Lu, Xianpei Han, Weipeng Chen:
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect. CoRR abs/2403.03853 (2024) - [i21]Deyuan Liu, Zecheng Wang, Bingning Wang, Weipeng Chen, Chunshan Li, Zhiying Tu, Dianhui Chu, Bo Li, Dianbo Sui:
Checkpoint Merging via Bayesian Optimization in LLM Pretraining. CoRR abs/2403.19390 (2024) - [i20]Xin Men, Mingyu Xu, Bingning Wang, Qingyu Zhang, Hongyu Lin, Xianpei Han, Weipeng Chen:
Base of RoPE Bounds Context Length. CoRR abs/2405.14591 (2024) - [i19]Han Liu, Peng Cui, Bingning Wang, Jun Zhu, Xiaolin Hu:
Accurate and Reliable Predictions with Mutual-Transport Ensemble. CoRR abs/2405.19656 (2024) - [i18]Zijia Zhao, Haoyu Lu, Yuqi Huo, Yifan Du, Tongtian Yue, Longteng Guo, Bingning Wang, Weipeng Chen, Jing Liu:
Needle In A Video Haystack: A Scalable Synthetic Framework for Benchmarking Video MLLMs. CoRR abs/2406.09367 (2024) - [i17]Han Liu, Yupeng Zhang, Bingning Wang, Weipeng Chen, Xiaolin Hu:
Full-ECE: A Metric For Token-level Calibration on Large Language Models. CoRR abs/2406.11345 (2024) - [i16]Yuyan Zhou, Liang Song, Bingning Wang, Weipeng Chen:
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic. CoRR abs/2406.11385 (2024) - [i15]Jie Chen, Yupeng Zhang, Bingning Wang, Wayne Xin Zhao, Ji-Rong Wen, Weipeng Chen:
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models. CoRR abs/2406.12397 (2024) - [i14]Yifan Du, Kun Zhou, Yuqi Huo, Yifan Li, Wayne Xin Zhao, Haoyu Lu, Zijia Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen:
Towards Event-oriented Long Video Understanding. CoRR abs/2406.14129 (2024) - [i13]Guosheng Dong, Da Pan, Yiding Sun, Shusen Zhang, Zheng Liang, Xin Wu, Yanjun Shen, Fan Yang, Haoze Sun, Tianpeng Li, Mingan Lin, Jianhua Xu, Yufan Zhang, Xiaonan Nie, Lei Su, Bingning Wang, Wentao Zhang, Jiaxin Mao, Zenan Zhou, Weipeng Chen:
BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline. CoRR abs/2408.15079 (2024) - [i12]Zhipeng Chen, Liang Song, Kun Zhou, Wayne Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen:
Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models. CoRR abs/2410.07825 (2024) - [i11]Yifan Du, Yuqi Huo, Kun Zhou, Zijia Zhao, Haoyu Lu, Han Huang, Wayne Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen:
Exploring the Design Space of Visual Context Representation in Video MLLMs. CoRR abs/2410.13694 (2024) - [i10]Han Huang, Yuqi Huo, Zijia Zhao, Haoyu Lu, Shu Wu, Bingning Wang, Qiang Liu, Weipeng Chen, Liang Wang:
Beyond Filtering: Adaptive Image-Text Quality Enhancement for MLLM Pretraining. CoRR abs/2410.16166 (2024) - 2023
- [c14]Xiaohui Xie, Qian Dong, Bingning Wang, Feiyang Lv, Ting Yao, Weinan Gan, Zhijing Wu, Xiangsheng Li, Haitao Li, Yiqun Liu, Jin Ma:
T2Ranking: A Large-scale Chinese Benchmark for Passage Ranking. SIGIR 2023: 2681-2690 - [i9]Xiaohui Xie, Qian Dong, Bingning Wang, Feiyang Lv, Ting Yao, Weinan Gan, Zhijing Wu, Xiangsheng Li, Haitao Li, Yiqun Liu, Jin Ma:
T2Ranking: A large-scale Chinese Benchmark for Passage Ranking. CoRR abs/2304.03679 (2023) - [i8]Aiyuan Yang, Bin Xiao, Bingning Wang, Borong Zhang, Ce Bian, Chao Yin, Chenxu Lv, Da Pan, Dian Wang, Dong Yan, Fan Yang, Fei Deng, Feng Wang, Feng Liu, Guangwei Ai, Guosheng Dong, Haizhou Zhao, Hang Xu, Haoze Sun, Hongda Zhang, Hui Liu, Jiaming Ji, Jian Xie, Juntao Dai, Kun Fang, Lei Su, Liang Song, Lifeng Liu, Liyun Ru, Luyao Ma, Mang Wang, Mickel Liu, MingAn Lin, Nuolan Nie, Peidong Guo, Ruiyang Sun, Tao Zhang, Tianpeng Li, Tianyu Li, Wei Cheng, Weipeng Chen, Xiangrong Zeng, Xiaochuan Wang, Xiaoxi Chen, Xin Men, Xin Yu, Xuehai Pan, Yanjun Shen, Yiding Wang, Yiyu Li, Youxin Jiang, Yuchen Gao, Yupeng Zhang, Zenan Zhou, Zhiying Wu:
Baichuan 2: Open Large-scale Language Models. CoRR abs/2309.10305 (2023) - 2022
- [c13]Bingning Wang, Feiyang Lv, Ting Yao, Jin Ma, Yu Luo, Haijin Liang:
ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding. CIKM 2022: 1996-2006 - [i7]Han Liu, Bingning Wang, Ting Yao, Haijin Liang, Jianjin Xu, Xiaolin Hu:
Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models. CoRR abs/2206.05519 (2022) - [i6]Bingning Wang, Feiyang Lv, Ting Yao, Yiming Yuan, Jin Ma, Yu Luo, Haijin Liang:
ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding. CoRR abs/2208.03030 (2022) - 2021
- [c12]Bingning Wang, Ting Yao, Weipeng Chen, Jingfang Xu, Xiaochuan Wang:
Multi-Lingual Question Generation with Language Agnostic Language Model. ACL/IJCNLP (Findings) 2021: 2262-2272 - [c11]Han Yang, Leilei Zhang, Bingning Wang, Ting Yao, Junfei Liu:
Cycle or Minkowski: Which is More Appropriate for Knowledge Graph Embedding? CIKM 2021: 2301-2310 - [c10]Bingning Wang, Ting Yao, Weipeng Chen, Jingfang Xu, Xiaochuan Wang:
ComQA: Compositional Question Answering via Hierarchical Graph Neural Networks. WWW 2021: 2601-2612 - [i5]Bingning Wang, Ting Yao, Weipeng Chen, Jingfang Xu, Xiaochuan Wang:
ComQA: Compositional Question Answering via Hierarchical Graph Neural Networks. CoRR abs/2101.06400 (2021) - 2020
- [c9]Bingning Wang, Xiaochuan Wang, Ting Tao, Qi Zhang, Jingfang Xu:
Neural Question Generation with Answer Pivot. AAAI 2020: 9138-9145 - [c8]Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Xiaochuan Wang:
ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion. AAAI 2020: 9146-9153 - [c7]Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang:
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. EMNLP (1) 2020: 3594-3605 - [i4]Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Xiaochuan Wang:
ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion. CoRR abs/2006.12146 (2020) - [i3]Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang:
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. CoRR abs/2009.07964 (2020) - [i2]Yichao Luo, Zhengyan Li, Bingning Wang, Xiaoyu Xing, Qi Zhang, Xuanjing Huang:
SenSeNet: Neural Keyphrase Generation with Document Structure. CoRR abs/2012.06754 (2020)
2010 – 2019
- 2019
- [c6]Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Kang Liu, Zhixing Tian, Jun Zhao:
Unsupervised Story Comprehension with Hierarchical Encoder-Decoder. ICTIR 2019: 93-100 - [c5]Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Zhixing Tian, Kang Liu, Jun Zhao:
Document Gated Reader for Open-Domain Question Answering. SIGIR 2019: 85-94 - [i1]Jindou Wu, Yunlun Yang, Chao Deng, Hongyi Tang, Bingning Wang, Haoze Sun, Ting Yao, Qi Zhang:
Sogou Machine Reading Comprehension Toolkit. CoRR abs/1903.11848 (2019) - 2018
- [c4]Bingning Wang, Kang Liu, Jun Zhao:
Deep Semantic Hashing with Multi-Adversarial Training. CIKM 2018: 1453-1462 - 2017
- [c3]Bingning Wang, Kang Liu, Jun Zhao:
Conditional Generative Adversarial Networks for Commonsense Machine Comprehension. IJCAI 2017: 4123-4129 - 2016
- [c2]Bingning Wang, Kang Liu, Jun Zhao:
Inner Attention based Recurrent Neural Networks for Answer Selection. ACL (1) 2016 - [c1]Bingning Wang, Shangmin Guo, Kang Liu, Shizhu He, Jun Zhao:
Employing External Rich Knowledge for Machine Comprehension. IJCAI 2016: 2929-2925
Coauthor Index
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last updated on 2024-11-28 20:33 CET by the dblp team
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