Pluralistic alignment has emerged as a critical frontier in the development of Large Language Models (LLMs), with reward models (RMs) serving as a central mechanism for capturing diverse human values. While benchmarks for general response quality are prevalent, evaluating how well reward models account for individual user preferences remains an… See the full description on the dataset page:
https://huggingface.co/datasets/QiyaoMa/Personalized-RewardBench.
