Divergences between Language Models and Human Brains

Do machines and humans process language in similar ways? Recent research has hinted in the affirmative, finding that brain signals can be effectively predicted using the internal representations of language models (LMs). Although such results are thought to reflect shared computational principles between LMs and human brains, there are also clear differences in how LMs and humans represent and use language. In this work, we systematically explore the divergences between human and machine language processing by examining the differences between …

brain brains brain signals clear computational cs.ai cs.cl cs.lg differences human humans language language models lms machines process q-bio.nc research thought