arxiv
PublishedOctober 22, 2026 at 4:00 AM
Differentially Private Sparse Reward Estimation with Preference Feedback
Publisher summary· verbatim
arXiv:2610.30099v1 Announce Type: new Abstract: Reinforcement Learning with Human Feedback (RLHF) has become a central paradigm for aligning Large Language Models with human values. However, the reliance on sensitive preference data necessitates rigorous differential privacy (DP) guarantees to preve
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