arXiv AI By Rituraj Sharma, Weiyuan Chen, Noah Provenzano, Tu Vu

PRISM: Pushing the Frontier of Deep Think via Process Reward Model-Guided Inference

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PRISM is a new inference algorithm for DEEPTHINK systems that uses a Process Reward Model (PRM) to guide step‑level verification, resampling, and aggregation of candidate solutions. By concentrating computation on higher‑quality reasoning while preserving diversity, PRISM improves performance on complex mathematical and scientific tasks, achieving 90.0%, 75.4%, and 71.4% on AIME25, HMMT25, and GPQA Diamond with gpt‑oss‑20b and outperforming larger models. The method also provides consistent net‑directional correction during refinement and remains accurate even when the initial population has few correct candidates.

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