Cross-lingual brain-language model alignment is robust but challenges hierarchical and computational accounts
The results suggest that brain-LLM alignment is more robust across languages, transformer depth, and model architectures than previously appreciated, but less informative about shared computational mechanisms.
Yan-Fei Ni, Rui He, P. Homan et al.
· 1 citation