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Training & Fine-tuningHard· RLHF· RLVR· Pipeline Design
If RLVR is strictly better for reasoning, why do produc...
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See plansRLVR is superior only within its specific domain. Once math and code competence are established, the model must handle open-ended tasks such as writing, instruction following, and multi-turn chat, where no verifier exists. RLHF with AI-judge feedback is the only practical signal source for these domains. The two stages address orthogonal capabilities and are used sequentially in all known production reasoning-model pipelines.