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Synapse
February 27, 20260 citations

Tool learning in the wild: empowering language models as automatic tool agents

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ZSZ. ShiSGS. GaoLYL. Yan

Key Points

  • The study aims to explore how language models can effectively learn and utilize tools autonomously.
  • Assessment of language model capabilities
  • Integration with various algorithms
  • Evaluation of tools in practical scenarios
  • Language models effectively learn to use tools in diverse contexts
  • Demonstrated enhanced autonomy of language models
  • Highlighted improvements in software technology applications

Abstract

Algorithms and the Foundations of Software technology

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Cite This Study

Shi et al. (2025) studied this question.

synapsesocial.com/papers/69a1357fed1d949a99abf7d1https://doi.org/10.1145/3696410.3714825#core-cited-by
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Tool learning with language models: a comprehensive survey of methods, pipelines, and benchmarks2025
  2. 2Tool learning with language models: a comprehensive survey of methods, pipelines, and benchmarks2025 · 6 citations
  3. 3Learning to Use Tools via Cooperative and Interactive Agents2024 · 1 citations
  4. 4Toolformer: Language Models Can Teach Themselves to Use Tools2023 · 400 citations
  5. 5From Language Models to Practical Self-Improving Computer Agents2024 · 2 citations