Rank-Aware Differentially Private Release of Listwise Preferences for LLM Alignment
arXiv:2610.37682v1 Announce Type: new Abstract: Listwise preference feedback offers richer supervision for large language model (LLMs) alignment than pairwise comparisons, but a full ranking also reveals more sensitive user preferences. Existing privacy-preserving alignment methods focus mainly on p
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Quelle: arXiv cs.CL (arXiv cs.CL). Original öffnen