Sayself: Teaching llms to express con- fidence with self-reflective rationales.arXiv preprint arXiv:2405.20974

SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales , year = · arXiv 2405.20974

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

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When Calibration Rankings Reverse: Accuracy-Controlled Evaluation for Fair Comparison of LLMs

cs.CL · 2026-06-29 · unverdicted · novelty 6.0

Global calibration metrics like ECE are confounded by accuracy; the proposed ACE framework with three accuracy-controlled views shows many prior calibration advantages weaken or reverse.

Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards

cs.LG · 2026-03-10

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Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards cs.LG · 2026-03-10 · unreviewed · ref 21

Sayself: Teaching llms to express con- fidence with self-reflective rationales.arXiv preprint arXiv:2405.20974

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