CommentsAs submitted to the 4th International Conference on Robot Intelligence Technology and Applications (RiTA-2015), Bucheon, Korea, December 14-16, 2015
Structured Agent Distillation for Large Language Model
大型语言模型的结构化智能体蒸馏
Jun Liu, Zhenglun Kong, Peiyan Dong, Changdi Yang, Tianqi Li, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Pu Zhao, Xue Lin, Dong Huang, Yanzhi Wang
机构
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Carnegie Mellon University(卡内基梅隆大学)
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Harvard University(哈佛大学)
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MIT(麻省理工学院)
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Northeastern University(东北大学)
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Adobe Research(Adobe研究)
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National University of Singapore(新加坡国立大学)
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University of Georgia(佐治亚大学)
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Florida International University(佛罗里达国际大学)
Comments16 pages, 8 figures. Began as an April Fools' idea, regrettably became a real methods paper, No language models were physically harmed. GitHub repository of this work: https://github.com/ChunHuangPhy/agent_astro
CommentsAccepted by the Transactions of the Association for Computational Linguistics (TACL 2025)
Journal refDongqi Liu, Xi Yu, Vera Demberg, Mirella Lapata; Explanatory Summarization with Discourse-Driven Planning. Transactions of the Association for Computational Linguistics 2025