Research Show Reasoning Models Improve With Any Rewards
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Research Show Reasoning Models Improve With Any Rewards
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 ...
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