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arXiv cs.AI·

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 before acting. By providing inferred priors about environment state, CTA improves optimal decision-making on retrieval-augmented QA, synthetic tasks, and file-reading coding tasks.
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AI AgentsReasoningReinforcement learning

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