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Richard
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生成式奖励模型的几种方法
Let’s Verify Step by Step
Generative Verifiers, Reward Modeling as Next-Token Prediction
LoRA
GRPO
Approximating KL Divergence
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
Offline Transition Modeling via Contrastive Energy Learning
Implicit Behavioral Cloning
RLHF and DPO
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