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TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems

Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, Tianpeng Bao, Shiwei Shi, DU Qing, Xiaoru Hu, Hangyu Mao, Z. J. Li, Xingyu Zeng, Rui Zhao, Xueqian Wang

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Abstract

Yilun Kong, Jingqing Ruan, YiHong Chen, Bin Zhang, Tianpeng Bao, Shi Shiwei, du Guo Qing, Xiaoru Hu, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao, Xueqian Wang. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track. 2024.

Topics & Concepts

Boosting (machine learning)Computer scienceTask (project management)Artificial intelligenceSystems engineeringEngineeringService-Oriented Architecture and Web ServicesBusiness Process Modeling and AnalysisSemantic Web and Ontologies
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems | Litcius