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Tunable Tool-Call Rates in LLM Agents via Representation Steering

This story is from 2026-08-27. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.25198v1 Announce Type: new Abstract: Deciding whether to call a tool is a core competence of an LLM agent, and a costly one to get wrong: needless calls add latency, accrue cost, and may trigger irreversible side effects, while missing calls leave the model confidently wrong on questions…

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  1. 2026-08-27 04:00 · arXiv cs.AI
    Tunable Tool-Call Rates in LLM Agents via Representation Steering

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