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technology fra Arxiv cs.ai

Controllable and Verifiable Process Data Synthesis for Process Reward Models

Yinghui Chi, Lucien Wang
Jun 5, 2026 at 04:00
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arXiv:2605.02395v2 Announce Type: replace Abstract: Process reward models (PRMs) rely on high-quality process supervision data, yet existing construction methods often provide limited control over error location, error type, and trajectory consistency. We propose a controllable and verifiable framework for synthesizing process supervision data...

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