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Exploring Reward Model Evaluation and Benchmarking with RewardBench Infrastructure
Exploring the challenges and solutions in evaluating reward models, discussing the differences between DPO and classifier-based models, and emphasizing the need for a standardized framework and tools for better analysis and training. The chapter aims to enhance the integration of human preferences in language models and improve alignment in open language models.