RM-Bench: Benchmarking LLM Reward Models Right
Автор: AI Research Roundup
Загружено: 2025-05-02
Просмотров: 12
Описание:
In this AI Research Roundup episode, Alex discusses the paper:
'RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style'
Existing reward model benchmarks struggle with subtlety and style bias, failing to correlate well with policy model performance. RM-BENCH addresses this by evaluating RMs based on sensitivity to subtle content differences and resistance to style biases across Chat, Code, Math, and Safety domains.
Paper URL: https://openreview.net/forum?id=QEHrm...
#AI #MachineLearning #DeepLearning #RewardModels #LLMs #Benchmarking #NLP #AIAlignment
Authors: Yantao Liu, Zijun Yao, Rui Min, Yixin Cao, Lei Hou, Juanzi Li
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