PRISM is a contrastive, policy-aware training framework for process reward models that reduces false positives by 22% on PRMBench and boosts downstream accuracy up to 33% in Best-of-N selection by learning reliable relative comparisons instead of pointwise labels.
Evaluation is all you need: Strategic overclaiming of llm reasoning capabilities through evaluation design.arXiv preprint arXiv:2506.04734, 2025a
2 Pith papers cite this work. Polarity classification is still indexing.
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