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best-of-n sampling 1confidence scoring 1large language models 1reasoning chains 1zero-shot evaluation 1

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cs.CL2026

PiCSAR: Probabilistic Confidence Selection And Ranking for Reasoning Chains

Joshua Ong Jun Leang, Zheng Zhao, Aryo Pradipta Gema +7

The paper proposes PiCSAR, a training-free scoring method that uses the joint log-likelihood of reasoning steps and final answer to select the most reliable reasoning chain from mu…