RLVR amplifies reasoning patterns that already exist. Qwen2.5-Math can uniquely do “code reasoning”-solving math by writing Python💻 (without execution). Code reasoning correlates with correctness (64% w/ vs 29% w/o). Spurious training amplifies code usage to 90%+.
Just having reasoning models do more work in general, makes them improve performance.
💡Our hypothesis: RLVR amplifies reasoning patterns that already exist
Qwen2.5-Math can uniquely do "code reasoning"-solving math by writing Python💻 (without execution)
Code reasoning correlates with correctness (64% w/ vs 29% w/o)
Spurious training amplifies code usage to 90%+ pic.twitter.com/8dV2TdlBqM— Stella Li (@StellaLisy) May 27, 2025
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