AIBearisharXiv – CS AI · 14h ago7/10
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Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards
Researchers identify systematic measurement flaws in reinforcement learning with verifiable rewards (RLVR) studies, revealing that widely reported performance gains are often inflated by budget mismatches, data contamination, and calibration drift rather than genuine capability improvements. The paper proposes rigorous evaluation standards to properly assess RLVR effectiveness in AI development.