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pith:2023:DCDPKVRXTDIYEJSDLF7FJSWYFP
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Tool Learning with Foundation Models

Bokai Xu, Bowen Li, Chaojun Xiao, Cheng Qian, Cheng Yang, Chi Han, Dahai Li, Ganqu Cui, Heng Ji, Huadong Wang, Jason Phang, Jing Yi, Junxi Yan, Kunlun Zhu, Lan Yan, Maosong Sun, Ning Ding, Runchu Tian, Shengding Hu, Shihao Liang, Tongshuang Wu, Weilin Zhao, Weize Chen, Xian Sun, Xin Cong, Xingyu Shen, Xu Han, Yankai Lin, Yaxi Lu, Yining Ye, Yi Ren Fung, Yufei Huang, Yujia Qin, Yusheng Su, Yuxiang Huang, Yuzhang Zhu, Zheni Zeng, Zhenning Dai, Zhen Zhang, Zhiyuan Liu, Ziwei Tang

Foundation models learn tool use by decomposing tasks into subtasks, reasoning to adjust plans, and selecting the right tools for each step.

arxiv:2304.08354 v3 · 2023-04-17 · cs.CL · cs.AI · cs.LG

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Claims

C1strongest claim

We formulate a general tool learning framework: starting from understanding the user instruction, models should learn to decompose a complex task into several subtasks, dynamically adjust their plan through reasoning, and effectively conquer each sub-task by selecting appropriate tools.

C2weakest assumption

That foundation models can be effectively trained and prompted to follow the proposed decomposition-reasoning-tool-selection process at scale, and that experiments with 18 tools sufficiently demonstrate this potential without detailed methodology or baselines in the provided abstract.

C3one line summary

The paper reviews tool learning research, formulates a framework for foundation models to decompose tasks and use tools via reasoning, and demonstrates current models' capabilities through experiments with 18 tools.

References

15 extracted · 15 resolved · 1 Pith anchors

[1] Fine-Tuning Language Models from Human Preferences 1909 · arXiv:1909.08593
[2] tag: Banana Pie Recipes, type: recipe
[3] tag: Custard and Cream Pies, type: recipes
[4] tag: Mexican, type: recipe
[5] tag: No-Bake Pie Recipes, type: recipe

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Cited by

22 papers in Pith

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First computed 2026-05-17T23:38:47.770663Z
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1886f5563798d1822643597e54cad82bc3209fdbb2bc6bc31a5549acfed333f8

Aliases

arxiv: 2304.08354 · arxiv_version: 2304.08354v3 · doi: 10.48550/arxiv.2304.08354 · pith_short_12: DCDPKVRXTDIY · pith_short_16: DCDPKVRXTDIYEJSD · pith_short_8: DCDPKVRX
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/DCDPKVRXTDIYEJSDLF7FJSWYFP \
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Canonical record JSON
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