8 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.SD2025
From Scores to Preferences: Redefining MOS Benchmarking for Speech Quality Reward Modeling
Yifei Cao, Changhao Jiang, Jiabao Zhuang +11
Assessing the perceptual quality of synthetic speech is crucial for guiding the development and refinement of speech generation models. However, it has traditionally relied on huma…
cs.LG2025
Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment
Jiazheng Zhang, Wenqing Jing, Zizhuo Zhang +9
Reward models (RMs) play a pivotal role in aligning large language models (LLMs) with human values. However, noisy preferences in human feedback can lead to reward misgeneralizatio…
cs.AI2024★ 8 cited
Secrets of RLHF in Large Language Models Part II: Reward Modeling
Binghai Wang, Rui Zheng, Lu Chen +24
Reinforcement Learning from Human Feedback (RLHF) has become a crucial technology for aligning language models with human values and intentions, enabling models to produce more hel…