FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data

Thibaut Thonet, Germán Kruszewski, Jos Rozen, Pierre Erbacher, Marc Dymetman. FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data. In Christos Christodoulopoulos 0001, Tanmoy Chakraborty 0002, Carolyn Rose, Violet Peng, editors, Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, EMNLP 2025, Suzhou, China, November 4-9, 2025. pages 9341-9370, Association for Computational Linguistics, 2025. [doi]

Abstract

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