specific method · filed under post-training
Hybrid reward system
Combines rule-based rewards, outcome reward models, and generative reward models.
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To supervise the diverse objectives above, we build a hybrid reward system that integrates three complementary types of reward signals: rule-based reward functions, outcome reward models (ORMs), and generative reward models (GRMs).
usedtraining objectivein GLM-5Z.ai
Filed alongside
Other methods under post-training :: reward modelling.
Generative Reward ModelGroupwise Agentic GradingGroupwise Reward SynthesisAdversarial screeningLength-adjusted RL rewardVerifier cross-checkingAbstention-aware reward for factual QAAgentic Generative Reward ModelBehavior rubricsBinary task verifierBinary terminal-verifier rewardCollaboration bonusDeterministic chain of checkersDirect RL optimization of a generative reward modelFive-dimension comparative grading of passing patchesHack-agent screeningLanguage consistency rewardMonitoring-only penalty strategyMulti-level reward formulationMultiplicative reward synthesisNegative checks for unintended side effectsOutcome Reward ModelPer-token tool-error reward shapingPrinciple-conditioned Generative Reward Model