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cs.CL2025
Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization
Meng Li, Guangda Huzhang, Haibo Zhang +2
Direct Preference Optimization (DPO) has emerged as a promising framework for aligning Large Language Models (LLMs) with human preferences by directly optimizing the log-likelihood…
cs.AI2025
Establishing Reliability Metrics for Reward Models in Large Language Models
Yizhou Chen, Yawen Liu, Xuesi Wang +5
The reward model (RM) that represents human preferences plays a crucial role in optimizing the outputs of large language models (LLMs), e.g., through reinforcement learning from hu…