The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks
- Published
- Source
- arXiv
- Paper number
- 037
- Field
- Reasoning / Agents
- arXiv ID
- 2502.08235
Key points
- LRMs tend to prefer extended internal reasoning over interaction with the environment, which leads to inefficient performance.
- There is no systematic framework for analyzing and quantifying overthinking behavior in AI systems.
- Understanding the balance between reasoning and action in interactive environments remains limited.
- This paper develops a comprehensive framework for studying and measuring excessive deliberation in LRMs.
- Using SWE Bench Verified, the authors analyzed 4,018 trajectories to identify patterns.
- They introduced a scoring system that was validated against expert human evaluation.
Paper links
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