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Spurious Rewards: Rethinking Training Signals in RLVR

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Rulin Shao, Shuyue Stella Li +12 more
cs.AI2025arXiv:2506.10947Code
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MATH-500 Accuracy:70.8%· MATH-500MATH-500 Accuracy Gain (Random Rewards):+21.4%· MATH-500MATH-500 Accuracy Gain (Ground Truth):+29.1%· MATH-500Code Reasoning Frequency:95.6%· MATH-500
Spurious Rewards: Rethinking Training Signals in RLVR — Flash Papers