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Fangyu Lei
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2020 – today
- 2024
- [c10]Xiang Li, Shizhu He, Fangyu Lei, JunYang JunYang, Tianhuang Su, Kang Liu, Jun Zhao:
Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering. ACL (Findings) 2024: 7804-7816 - [c9]Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen:
Competition-Level Problems are Effective LLM Evaluators. ACL (Findings) 2024: 13526-13544 - [c8]Xiaoyan Yu, Tongxu Luo, Yifan Wei, Fangyu Lei, Yiming Huang, Hao Peng, Liehuang Zhu:
Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent. EMNLP 2024: 12540-12557 - [c7]Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu:
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models. EMNLP 2024: 13487-13521 - [c6]Fangyu Lei, Qian Liu, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu:
S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Model. NAACL-HLT 2024: 1259-1286 - [i14]Tongxu Luo, Jiahe Lei, Fangyu Lei, Weihao Liu, Shizhu He, Jun Zhao, Kang Liu:
MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models. CoRR abs/2402.12851 (2024) - [i13]Xiaoyan Yu, Tongxu Luo, Yifan Wei, Fangyu Lei, Yiming Huang, Hao Peng, Liehuang Zhu:
Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent. CoRR abs/2402.13717 (2024) - [i12]Tianbao Xie, Danyang Zhang, Jixuan Chen, Xiaochuan Li, Siheng Zhao, Ruisheng Cao, Toh Jing Hua, Zhoujun Cheng, Dongchan Shin, Fangyu Lei, Yitao Liu, Yiheng Xu, Shuyan Zhou, Silvio Savarese, Caiming Xiong, Victor Zhong, Tao Yu:
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments. CoRR abs/2404.07972 (2024) - [i11]Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Yuchen Mao, Wenjing Hu, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu:
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? CoRR abs/2407.10956 (2024) - 2023
- [c5]Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang, Jun Zhao, Kang Liu:
S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering. ACL (2) 2023: 1731-1740 - [c4]Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu:
MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models. EMNLP (Findings) 2023: 1434-1447 - [c3]Xiang Li, Fangyu Lei, Shizhu He, Kang Liu, Jun Zhao:
Multi-Target Semantic Parsing with Collaborative Deliberation Network. IJCNLP (Findings) 2023: 211-221 - [c2]Jun Yu, Mohan Jing, Weihao Liu, Tongxu Luo, Bingyuan Zhang, Keda Lu, Fangyu Lei, Jianqing Sun, Jiaen Liang:
Answer-Based Entity Extraction and Alignment for Visual Text Question Answering. ACM Multimedia 2023: 9487-9491 - [i10]Yifan Wei, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu:
Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Question. CoRR abs/2305.03458 (2023) - [i9]Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang, Jun Zhao, Kang Liu:
S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering. CoRR abs/2305.11725 (2023) - [i8]Weihao Liu, Fangyu Lei, Tongxu Luo, Jiahe Lei, Shizhu He, Jun Zhao, Kang Liu:
MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images. CoRR abs/2309.04790 (2023) - [i7]Tongxu Luo, Fangyu Lei, Jiahe Lei, Weihao Liu, Shizhu He, Jun Zhao, Kang Liu:
HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering. CoRR abs/2309.12669 (2023) - [i6]Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu:
MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models. CoRR abs/2310.05157 (2023) - [i5]Fangyu Lei, Tongxu Luo, Pengqi Yang, Weihao Liu, Hanwen Liu, Jiahe Lei, Yiming Huang, Yifan Wei, Shizhu He, Jun Zhao, Kang Liu:
TableQAKit: A Comprehensive and Practical Toolkit for Table-based Question Answering. CoRR abs/2310.15075 (2023) - [i4]Fangyu Lei, Qian Liu, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu:
S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models. CoRR abs/2310.15147 (2023) - [i3]Yifan Wei, Xiaoyan Yu, Huanhuan Ma, Fangyu Lei, Yixuan Weng, Ran Song, Kang Liu:
Assessing Knowledge Editing in Language Models via Relation Perspective. CoRR abs/2311.09053 (2023) - [i2]Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen:
Competition-Level Problems are Effective LLM Evaluators. CoRR abs/2312.02143 (2023) - 2022
- [c1]Fangyu Lei, Shizhu He, Xiang Li, Jun Zhao, Kang Liu:
Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder. COLING 2022: 1379-1390 - [i1]Fangyu Lei, Shizhu He, Xiang Li, Jun Zhao, Kang Liu:
Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder. CoRR abs/2209.07692 (2022)
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