arXiv cs.CL
· Papers
Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization
arXiv:2604.07343v2 Announce Type: replace Abstract: 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, evalua