Controllable and Verifiable Process Data Synthesis for Process Reward Models
arXiv:2605.02395v1 Announce Type: new
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…