作者位次 #5/7ACL 2026Poster· Natural Language Processing
ETR : Entropy Trend Reward for Efficient Chain-of-Thought Reasoning
Xuan Xiong · Huan Liu · Li Gu · Zhixiang Chi · Yue Qiu · YUANHAO YU · Yang Wang
摘要
Chain-of-thought (CoT) reasoning improves large language model performance on complex tasks, but often produces excessively long and inefficient reasoning traces. Existing methods shorten CoTs using length penalties or global entropy reduction, implicitly assuming that low uncertainty is desirabl...