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arXiv preprint (2024), https://arxiv.org/abs/2404.17287, arXiv:2404.17287

3 Pith papers cite this work. Polarity classification is still indexing.

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representative citing papers

Calibration-Aware Policy Optimization for Reasoning LLMs

cs.LG · 2026-04-14 · unverdicted · novelty 6.0

CAPO improves LLM calibration by up to 15% while matching or exceeding GRPO accuracy through logistic AUC loss and noise masking, enabling better abstention and scaling performance.

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