OPDVR integrates On-policy Distillation (OPD) with Reinforcement Learning with Verifiable Reward (RLVR) without extra hyperparameters. It uses dense token-level signals from OPD alongside sparse task-level correctness from RLVR to improve model post-training.
HOW THIS AFFECTS YOU
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builderThis provides a simpler, more robust method for aligning models to verifiable tasks.
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researcherYou can optimize LLM post-training by combining dense supervisory signals with verifiable task outcomes more efficiently.