Mariya Toneva

Fine-tuning speech models jointly with brain responses from multiple participants improves brain alignment (even on novel datasets) and decreases the amount of fMRI data needed to predict new participants.

LLMs show human-like representational change during associative learning, driven by pair similarity and modulated by prior knowledge.