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

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References (61)

[1]

AdaSearch: Balancing Parametric Knowledge and Search in Large Language Models via Reinforcement Learning

2025Tzu-Han Lin, Wei-Lin Chen et al.

[2]

Learning Steerable Clarification Policies with Collaborative Self-play

2025Jonathan Berant, Maximillian Chen et al.

[3]

No Price Tags? No Problem: Query Strategies for Unpriced Information

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"A framework for LLMs to optimize decision-making by balancing cost and uncertainty through a Calibrate-Then-Act approach."

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

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References (61)

Founder's Pitch

"A framework for LLMs to optimize decision-making by balancing cost and uncertainty through a Calibrate-Then-Act approach."

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

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References (61)

Founder's Pitch

"A framework for LLMs to optimize decision-making by balancing cost and uncertainty through a Calibrate-Then-Act approach."

Commercial Viability Breakdown

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