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From Uncertainty to Action: Learning to Steer LLM Agents

Li, Hanwen et al.
arXiv (All) · Papers
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computation-and-languagemachine-learning
Steering an LLM agent means deciding whether to correct it, at which step, and with which mechanism. Uncertainty is often used to decide when to correct an agent, but whether it can guide these decisions remains unclear. We steer agent trajectories separately at every non-terminal step with each of
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