tool selection

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topic2 events

papersSEP 10 04:00 UTC

Researchers propose state-path tool menus as execution priors for online AI agents

A new arXiv paper addresses the challenge facing language-model agents that must operate with tool libraries containing thousands of possible interfaces. The authors define a 'tool menu' as a short, ordered set of tools presented to an agent before it acts, restricting it to calling only the listed options. This setup is framed as an execution prior intended to guide tool selection and make online agent behavior more manageable.

agents/tool-use/research/llm

papersSEP 10 04:00 UTC

Study argues exact enumeration outperforms RL for genomic tool selection

A new arXiv paper questions the widespread practice of training a policy with reinforcement learning on top of a frozen reasoning model to decide which external tools an AI system should call. The authors contend that in specialized scientific domains such as genomics, where the set of possible tool combinations is small enough to list exhaustively, sampling-based methods are unnecessary. They instead present an exact optimization approach that evaluates the full space of tool subsets to recover optimal selection policies.

reinforcement-learning/genomics/tool-selection/optimization