22 citations · 24 across the 3 of their papers we have counts for
3 papers · 1 filter
Language Impairment as a Lens onto Large Language Models
Muxuan He, Wang Bill Zhu, Yue Chen +5
Although large language models (LLMs) encode language in highly distributed spaces, they remain vulnerable to focal disruptions---a phenomenon strikingly similar to how localized b…
Cognitive Expert Language Models Better Align with the Corresponding Brain Systems
Zhivar Sourati, Mengxuan Helen Wu, Nona Ghazizadeh +3
Large language models (LLMs) can predict human brain activity across a variety of brain regions during natural language comprehension. Typically, however, LLM-brain alignment is me…
The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models
Ariel Goldstein, Eric Ham, Mariano Schain +17
Deep Language Models (DLMs) provide a novel computational paradigm for understanding the mechanisms of natural language processing in the human brain. Unlike traditional psycholing…