ReasoningFlow: Discourse Structures for Understanding LLM Reasoning Traces 事件

ReasoningFlow: Discourse Structures for Understanding LLM Reasoning Traces arXiv:2606.05402v1 Announce Type: new Abstract: Large reasoning models (LRMs) produce reasoning traces with non-linear structures, such as backtracking and self-correction, that complicate the evaluation and monitoring of the reasoning process. We introduce ReasoningFlow, a framework that captures the discourse structures of LRM reasoning traces into fine-grained directed acyclic graphs (DAGs). We develop and validate ou