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个人简介
Yuchen's primary interest lies in studying the science of large language models (LLMs), developing AI agents for complex interactive tasks, and evaluating the reasoning and alignment ability of LLMs. His research aims to teach machines how to think, plan, and act like humans. Moreover, Yuchen's work focuses on enhancing the robustness, safety, and generalization of LLMs through retrieval augmentation, continual learning, ensemble learning, etc.
研究兴趣
论文共 80 篇作者统计合作学者相似作者
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Knowledge-augmented Methods for Natural Language Processing SpringerBriefs in Computer Sciencepp.41-63, (2024)
CoRR (2024)
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CoRR (2024)
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Knowledge-augmented Methods for Natural Language Processing SpringerBriefs in Computer Sciencepp.91-95, (2024)
Knowledge-augmented Methods for Natural Language Processing SpringerBriefs in Computer Sciencepp.1-5, (2024)
arxiv(2024)
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Knowledge-augmented Methods for Natural Language Processing SpringerBriefs in Computer Sciencepp.7-21, (2024)
Nathan Lambert,Valentina Pyatkin,Jacob Morrison, LJ Miranda,Bill Yuchen Lin, Khyathi Chandu,Nouha Dziri,Sachin Kumar, Tom Zick,Yejin Choi,Noah A. Smith,Hannaneh Hajishirzi
arxiv(2024)
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CoRR (2024)
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Knowledge-augmented Methods for Natural Language Processing SpringerBriefs in Computer Sciencepp.23-40, (2024)
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