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cs.LG2025
Whatever Remains Must Be True: Filtering Drives Reasoning in LLMs, Shaping Diversity
Germán Kruszewski, Pierre Erbacher, Jos Rozen +1
Reinforcement Learning (RL) has become the de facto standard for tuning LLMs to solve tasks involving reasoning. However, growing evidence shows that models trained in such way oft…
cs.CL2025
FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data
Thibaut Thonet, Germán Kruszewski, Jos Rozen +2
LLM-powered conversational assistants are often deployed in a one-size-fits-all manner, which fails to accommodate individual user preferences. Recently, LLM personalization -- tai…