Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps

7 July 2022

Papers citing "Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps"

9 / 9 papers shown

Title
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey) S. Oota Zijiao Chen Manish Gupta R. Bapi G. Jobard F. Alexandre X. Hinaut 3DV AI4CE 59 12 0 31 Dec 2024
fMRI predictors based on language models of increasing complexity recover brain left lateralization Laurent Bonnasse-Gahot Christophe Pallier 54 3 0 28 May 2024
MulCogBench: A Multi-modal Cognitive Benchmark Dataset for Evaluating Chinese and English Computational Language Models Yunhao Zhang Xiaohan Zhang Chong Li Shaonan Wang Chengqing Zong 25 6 0 02 Mar 2024
Divergences between Language Models and Human Brains Yuchen Zhou Emmy Liu Graham Neubig Michael J. Tarr Leila Wehbe 40 1 0 15 Nov 2023
Mapping Brains with Language Models: A Survey Antonia Karamolegkou Mostafa Abdou Anders Søgaard 16 9 0 08 Jun 2023
Language acquisition: do children and language models follow similar learning stages? Linnea Evanson Yair Lakretz J. King 35 27 0 06 Jun 2023
Information-Restricted Neural Language Models Reveal Different Brain Regions' Sensitivity to Semantics, Syntax and Context Alexandre Pasquiou Yair Lakretz Bertrand Thirion Christophe Pallier 19 16 0 28 Feb 2023
Training language models to summarize narratives improves brain alignment Khai Loong Aw Mariya Toneva 38 24 0 21 Dec 2022
Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects Charlotte Caucheteux Alexandre Gramfort J. King 44 32 0 12 Oct 2021