Pushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and Activation
通过经验知识集成与激活推动LLM工具调用极限
Yupu Hao, Zhuoran Jin, Huanxuan Liao, Kang Liu, Jun Zhao
机构
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The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所复杂系统认知与决策智能重点实验室)
;
School of Artificial Intelligence, University of Chinese Academy of Sciences(中国科学院大学人工智能学院)
Mind the Tool Failures: Achieving Synergistic Tool Gains for Medical Agents
注意工具故障:实现医疗智能体的协同工具增益
Yunhui Gan, Tan Pan, Kaiyu Guo, Limei Han, Weimiao Yu, Guangnan Ye, Chen Jiang, Yuan Cheng
机构
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Fudan University(复旦大学)
;
Shanghai Academy of Artificial Intelligence for Science(上海人工智能科学研究院)
;
Shanghai Innovation Institute(上海创新研究院)
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The University of Queensland(昆士兰大学)
;
Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR)(生物信息研究所(BII),科技研究局(A*STAR))
机构
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Columbia School of General Studies, Columbia University, NY, USA(哥伦比亚大学泛研学院)
;
Columbia Engineering, Columbia University, NY, USA(哥伦比亚大学工程学院)
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IBM Research, NY, USA(IBM研究院)
机构
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Tongji University(同济大学)
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Shanghai AI Lab(上海人工智能实验室)
;
Fudan University(复旦大学)
;
Zhejiang University(浙江大学)
;
University of California San Diego(加州大学圣地亚哥分校)
机构
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National University of Singapore(新加坡国立大学)
;
Alibaba Group(阿里巴巴集团)
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Mohamed bin Zayed University of Artificial Intelligence(莫卧儿 bin 赞德人工智能大学)
;
Hamad Bin Khalifa University(哈马德 bin 哈利法大学)