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arXiv cs.CL·

Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents

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In three linesCalibrate-Then-Act (CTA) is a framework enabling LLM agents to explicitly reason about cost-uncertainty tradeoffs during exploration. By providing inferred priors about environment state, CTA improves decision-making on QA, retrieval-augmented QA, and file-reading coding tasks without standard RL training.
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AI AgentsReasoningReinforcement learningPapers

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