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cs.LG2026
How Sampling Shapes LLM Alignment: From One-Shot Optima to Iterative Dynamics
Yurong Chen, Yu He, Michael I. Jordan +1
Standard methods for aligning large language models with human preferences learn from pairwise comparisons among sampled candidate responses and regularize toward a reference polic…
cs.LG2024
Learning from Imperfect Human Feedback: a Tale from Corruption-Robust Dueling
Yuwei Cheng, Fan Yao, Xuefeng Liu +1
This paper studies Learning from Imperfect Human Feedback (LIHF), addressing the potential irrationality or imperfect perception when learning from comparative human feedback. Buil…