ThinkReset：有界上下文长时推理的可学习中间接口构建
原标题：ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning
AI 摘要
arXiv 上发布了一篇题为 ThinkReset 的论文，提出了一种用于有界上下文长时推理的可学习中间接口构建方法。该方法通过接口写回和重置，直接优化重置后的继续求解成功率，解决了长思维链推理中的冗余累积、上下文溢出和错误锚定问题。实验表明，在多个长时推理基准上，该方法在固定上下文窗口下持续提升了成功率。
正文节选
Computer Science > Artificial Intelligence Title:ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning View PDF HTML (experimental) Abstract:Long chain-of-thought reasoning improves performance on complex problems, but it also introduces redundancy accumulation, context overflow, and error anchoring. We argue that under bounded context windows, the core bottleneck is not trajectory compression or test-time control, but the absence of a r