Agentic Tool Use in Large Language Models
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1866915905602060288 |
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| author | Hu, Jinchao Zhong, Meizhi Chen, Kehai Bai, Xuefeng Zhang, Min |
| author_facet | Hu, Jinchao Zhong, Meizhi Chen, Kehai Bai, Xuefeng Zhang, Min |
| contents | Large language models are increasingly being deployed as autonomous agents yet their real world effectiveness depends on reliable tools for information retrieval, computation and external action. Existing studies remain fragmented across tasks, tool types, and training settings, lacking a unified view of how tool-use methods differ and evolve. This paper organizes the literature into three paradigms: prompting as plug-and-play, supervised tool learning and reward-driven tool policy learning, analyzes their methods, strengths and failure modes, reviews the evaluation landscape and highlights key challenges, aiming to address this fragmentation and provide a more structured evolutionary view of agentic tool use. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_00835 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Agentic Tool Use in Large Language Models Hu, Jinchao Zhong, Meizhi Chen, Kehai Bai, Xuefeng Zhang, Min Computation and Language Large language models are increasingly being deployed as autonomous agents yet their real world effectiveness depends on reliable tools for information retrieval, computation and external action. Existing studies remain fragmented across tasks, tool types, and training settings, lacking a unified view of how tool-use methods differ and evolve. This paper organizes the literature into three paradigms: prompting as plug-and-play, supervised tool learning and reward-driven tool policy learning, analyzes their methods, strengths and failure modes, reviews the evaluation landscape and highlights key challenges, aiming to address this fragmentation and provide a more structured evolutionary view of agentic tool use. |
| title | Agentic Tool Use in Large Language Models |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2604.00835 |