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cs.CL2024★ 1 cited
Hybrid Alignment Training for Large Language Models
Chenglong Wang, Hang Zhou, Kaiyan Chang +5
Alignment training is crucial for enabling large language models (LLMs) to cater to human intentions and preferences. It is typically performed based on two stages with different o…
cs.CL2024
Prior Constraints-based Reward Model Training for Aligning Large Language Models
Hang Zhou, Chenglong Wang, Yimin Hu +3
Reinforcement learning with human feedback for aligning large language models (LLMs) trains a reward model typically using ranking loss with comparison pairs.However, the training…