评分 6 · 来源：cs.CL updates on arXiv.org · 发布于 2026-04-20
评分依据：可解释痕迹与意外结果：质疑CoT推理轨迹的语义正确性假设
要点
arXiv:2505.13792v2 Announce Type: replace Abstract: Recent advances in reasoning-focused Large Language Models (LLMs) have introduced Chain-of-Thought (CoT) traces - intermediate reasoning steps generated before a final answer. These traces, as in DeepSeek R1, guide inference and train smaller models. A common but under-examined assumption is that these traces are both semantically correct and interpretable to end-users. While intermediate reasoning steps are believed to improve accuracy, we question whether they are actually valid and understandable. To isolate the effect of trace semantics, …
🤖 AI 点评
本文提供了AI领域的重要信息，值得行业从业者关注。