🎉 Delighted to share that our work “FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data” has been accepted to #EMNLP2025 main!
🧑🏻💻 Joint work with @germank.bsky.social, Jos Rozen, Pierre Erbacher, Marc Dymetman
📄 Preprint: arxiv.org/abs/2508.04698
arxiv.org
FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data
LLM-powered conversational assistants are often deployed in a one-size-fits-all manner, which fails to accommodate individual user preferences. Recently, LLM personalization -- tailoring models to ali...
