AIBullisharXiv – CS AI · Jun 117/10
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Beyond representational alignment with brain-guided language models for robust reasoning
Researchers demonstrate that large language models can be enhanced by integrating brain signals from human reasoning regions, achieving up to 13% accuracy gains on deductive reasoning tasks. By aligning LLM representations with fMRI data from reasoning-related brain regions, the study establishes a framework that guides model behavior beyond traditional language supervision alone.