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Beyond Math and Code: Lightweight Corpus-Grounded Process Rewards for Factual Question Answering
Process supervision during reinforcement learning (RL) post-training matters in factual question answering (QA) because responses receiving positive response-level rewards can still contain sentence-level factual errors. Unlike math and code, factual QA lacks inexpensive programmatic checks, making
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