Songyang Gao - School of Computer Science, Fudan University

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论文共 27 篇作者统计合作学者相似作者

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CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing

Songyang Gao,Shihan Dou,Junjie Shan,Qi Zhang,Xuanjing Huang

Natural Language Processing and Chinese Computingpp.284-297, (2024)

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The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis

Chen Yang,Junzhuo Li,Xinyao Niu,Xinrun Du,Songyang Gao, Haoran Zhang, Zhaoliang Chen,Xingwei Qu,Ruibin Yuan,Yizhi Li,Jiaheng Liu,Stephen W. Huang,

CoRR (2024)

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ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages

Junjie Ye,Sixian Li,Guanyu Li,Caishuang Huang,Songyang Gao, Yilong Wu,Qi Zhang,Tao Gui,Xuanjing Huang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1 Long Papers)pp.2181-2211, (2024)

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RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning

Junjie Ye, Yilong Wu,Songyang Gao,Caishuang Huang,Sixian Li,Guanyu Li,Xiaoran Fan,Qi Zhang,Tao Gui,Xuanjing Huang

Conference on Empirical Methods in Natural Language Processingpp.313-333, (2024)

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Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data

Han Xia,Songyang Gao, Qiming Ge,Zhiheng Xi,Qi Zhang,Xuanjing Huang

arxiv（2024）

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Navigating the OverKill in Large Language Models

Chenyu Shi,Xiao Wang, Qiming Ge,Songyang Gao,Xianjun Yang,Tao Gui,Qi Zhang,Xuanjing Huang,Xun Zhao,Dahua Lin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1 Lo...（2024）

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Secrets of RLHF in Large Language Models Part II: Reward Modeling

Binghai Wang,Rui Zheng,Lu Chen,Yan Liu,Shihan Dou,Caishuang Huang,Wei Shen,Senjie Jin,Enyu Zhou,Chenyu Shi,Songyang Gao,Nuo Xu,

arXiv (Cornell University) (2024)

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Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data

Han Xia,Songyang Gao, Qiming Ge,Zhiheng Xi,Qi Zhang,Xuanjing Huang

Findings of the Association for Computational Linguistics EMNLP 2024pp.8178-8188, (2024)

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Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data

Han Xia,Songyang Gao, Qiming Ge,Zhiheng Xi,Qi Zhang,Xuanjing Huang

CoRR (2024)

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LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Shihan Dou,Enyu Zhou, Yan Liu,Songyang Gao,Wei Shen,Limao Xiong,Yuhao Zhou,Xiao Wang,Zhiheng Xi,Xiaoran Fan,Shiliang Pu, Jiang Zhu,

ACL 2024pp.1932-1945, (2024)

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