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paper reviewed open access llmsec-2024-00037

Toolformer: Language Models Can Teach Themselves to Use Tools

Timo Schick, Jane Dwivedi-Yu, Roberto Dessi, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom

2023-02 — NeurIPS 2023 1400 citations

Abstract

Demonstrates how LLMs can learn to use external tools (APIs, search engines, calculators) through self-supervised learning, foundational for understanding tool-use security.

Categories

Tags

tool-useAPI-callingfoundational

Framework Mappings

OWASP LLM: LLM06 OWASP Agentic: AGT02

Cite This Resource

@article{llmsec202400037,
  title = {Toolformer: Language Models Can Teach Themselves to Use Tools},
  author = {Timo Schick and Jane Dwivedi-Yu and Roberto Dessi and Roberta Raileanu and Maria Lomeli and Eric Hambro and Luke Zettlemoyer and Nicola Cancedda and Thomas Scialom},
  year = {2023},
  journal = {NeurIPS 2023},
  url = {https://arxiv.org/abs/2302.04761},
}

Metadata

Added
2026-04-14
Added by
manual
Source
manual
arxiv_id
2302.04761