一作ACL 2026Findings· Findings of ACL
P i CSAR : Probabilistic Confidence Selection and Ranking for Reasoning Chains
Joshua Ong Jun Leang · Zheng Zhao · Aryo Pradipta Gema · Sohee Yang · Wai-Chung Kwan · Xuanli He · Wenda Li · Pasquale Minervini · Eleonora Giunchiglia · Shay B Cohen
摘要
Best-of- n sampling improves the accuracy of large language models (LLMs) and large reasoning models (LRMs) by generating multiple candidate solutions and selecting the one with the highest reward. The key challenge for reasoning tasks is designing a scoring function that can identify correct rea...