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Dongfang Li

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In-Context Learning State Vector with Inner and Momentum Optimization

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Apr 17, 2024
Dongfang Li, Zhenyu Liu, Xinshuo Hu, Zetian Sun, Baotian Hu, Min Zhang

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Improving Attributed Text Generation of Large Language Models via Preference Learning

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Mar 27, 2024
Dongfang Li, Zetian Sun, Baotian Hu, Zhenyu Liu, Xinshuo Hu, Xuebo Liu, Min Zhang

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SelectIT: Selective Instruction Tuning for Large Language Models via Uncertainty-Aware Self-Reflection

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Feb 26, 2024
Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang

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Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer

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Feb 22, 2024
Xinshuo Hu, Baotian Hu, Dongfang Li, Xiaoguang Li, Lifeng Shang

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Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training

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Dec 29, 2023
Dongfang Li, Baotian Hu, Qingcai Chen, Shan He

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Temporal Knowledge Question Answering via Abstract Reasoning Induction

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Nov 15, 2023
Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang

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Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration

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Nov 14, 2023
Zhenran Xu, Senbao Shi, Baotian Hu, Jindi Yu, Dongfang Li, Min Zhang, Yuxiang Wu

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A Survey of Large Language Models Attribution

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Nov 07, 2023
Dongfang Li, Zetian Sun, Xinshuo Hu, Zhenyu Liu, Ziyang Chen, Baotian Hu, Aiguo Wu, Min Zhang

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Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense Retrieval

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Sep 19, 2023
Nengzheng Jin, Dongfang Li, Junying Chen, Joanna Siebert, Qingcai Chen

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Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation

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Aug 16, 2023
Xinshuo Hu, Dongfang Li, Zihao Zheng, Zhenyu Liu, Baotian Hu, Min Zhang

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