Author

Ramayya Krishnan

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#reinforcement learning Open access Oct 2026

Calibration-Aware Reinforcement Learning for Large Language Models: A Survey of Objectives, Optimization, and Decision-Making

Large language models increasingly emit confidence reports, predictive distributions, and typed decisions that determine whether a system answers, abstains, retrieves evidence, or spends more computation. We survey calibration-aware reinforcement learning (RL), in which a reported probability is scored by the reward, c...

Yubo Li, Yidi Miao, Ramayya Krishnan et al. · KiltHub Repository · 0 citations