What AI says about rewardmodeling

RewardModeling trains reward models for human preference learning, such as RLHF for language modeling, using long context DeBERTa v3 models. The project experiments with synthetic data generation to improve reward model performance, creating datasets by having LLMs rank responses based on basic principles.