spark-process-aware-rewards

Train process reward models without ground-truth references using synthetic verification data from generators and verifiers. SPARK achieves 67.5 F1 on ProcessBench—ideal when step-level annotations are expensive but verification is available.

Independent GitHub snapshot · Automated classification · Original documentation governs