Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.02532 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866918044325904384 |
|---|---|
| author | Lee, Jinu Mukherjee, Sagnik Hakkani-Tur, Dilek Hockenmaier, Julia |
| author_facet | Lee, Jinu Mukherjee, Sagnik Hakkani-Tur, Dilek Hockenmaier, Julia |
| contents | Large reasoning models (LRMs) generate complex reasoning traces with planning, reflection, verification, and backtracking. In this work, we introduce ReasoningFlow, a unified schema for analyzing the semantic structures of these complex traces. ReasoningFlow parses traces into directed acyclic graphs, enabling the characterization of distinct reasoning patterns as subgraph structures. This human-interpretable representation offers promising applications in understanding, evaluating, and enhancing the reasoning processes of LRMs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_02532 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | ReasoningFlow: Semantic Structure of Complex Reasoning Traces Lee, Jinu Mukherjee, Sagnik Hakkani-Tur, Dilek Hockenmaier, Julia Computation and Language Large reasoning models (LRMs) generate complex reasoning traces with planning, reflection, verification, and backtracking. In this work, we introduce ReasoningFlow, a unified schema for analyzing the semantic structures of these complex traces. ReasoningFlow parses traces into directed acyclic graphs, enabling the characterization of distinct reasoning patterns as subgraph structures. This human-interpretable representation offers promising applications in understanding, evaluating, and enhancing the reasoning processes of LRMs. |
| title | ReasoningFlow: Semantic Structure of Complex Reasoning Traces |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2506.02532 |