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cs.LG2025
Instance-level Randomization: Toward More Stable LLM Evaluations
Yiyang Li, Yonghuang Wu, Ying Luo +5
Evaluations of large language models (LLMs) suffer from instability, where small changes of random factors such as few-shot examples can lead to drastic fluctuations of scores and…
cs.LG2024
Length Desensitization in Direct Preference Optimization
Wei Liu, Yang Bai, Chengcheng Han +5
Direct Preference Optimization (DPO) is widely utilized in the Reinforcement Learning from Human Feedback (RLHF) phase to align Large Language Models (LLMs) with human preferences,…