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papersTODAY 04:00 UTC

Study Examines How Unnecessary Tool Access Affects LLM Answers

A new arXiv paper investigates how giving large language models access to external tools they do not actually need changes the way they answer questions. The authors find that mere availability of tools can shift model behavior even when no external information is required. The work suggests tool provisioning should be matched to the task rather than offered by default.

arXivLLM evaluationai-researchtool-use

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.CLWhen Tools Get in the Way: The Effect of Unnecessary Tool Availability on LLM Answering ↗TODAY 04:00 UTC

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