Reward models are metrics in disguise—let’s bridge the fields
Two tribes, one problem. 🎭📏🧠🔧
This position paper argues that reward models (used in post-training) and evaluation metrics tackle the same task: judging output quality. Yet they’ve grown apart—duplicating terms and mistakes. The authors survey both areas, show cases where metrics beat reward models, and chart shared challenges: spurious correlations, reward hacking, data quality, and meta-evaluation.
Why it matters: Unifying practices can yield better preferences, less gaming, and more calibrated evaluation.
If you tune models or score them, this is your handshake moment.
Paper: http://arxiv.org/abs/2510.03231v1
Register: https://www.AiFeta.com
Paper: http://arxiv.org/abs/2510.03231v1
Register: https://www.AiFeta.com
#RLHF #RewardModels #Evaluation #Metrics #NLP #AIAlignment #RewardHacking #MetaEvaluation
