Paper analyzes reasoning models like o1 and DeepSeek R1, probing CoT data contamination
rao2z · x · 2026-09-01
Subbarao Kambhampati et al. published a paper titled "(How) Do reasoning models reason?", offering a unified perspective on Large Reasoning Models (LRMs) like OpenAI o1 and DeepSeek R1. The paper covers their promise, sources of power, misconceptions, and limitations.
Key Points:
- Data Contamination: The authors note that web data has been "corrupted" with synthetic Chains of Thought. For instance, DeepSeek R1 relied on V3 to generate 15 traces per problem prompt before post-training.
- Reasoning Nature: The paper dissects the actual mechanisms of these models, distinguishing genuine logical reasoning from pattern matching.
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