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Zaid Zada
Zaid Zada
在 princeton.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Shared computational principles for language processing in humans and deep language models
A Goldstein, Z Zada, E Buchnik, M Schain, A Price, B Aubrey, SA Nastase, ...
Nature neuroscience 25 (3), 369-380, 2022
301*2022
Correspondence between the layered structure of deep language models and temporal structure of natural language processing in the human brain
A Goldstein, E Ham, SA Nastase, Z Zada, A Grinstein-Dabus, B Aubrey, ...
BioRxiv, 2022.07. 11.499562, 2022
202022
Thinking ahead: prediction in context as a keystone of language in humans and machines. bioRxiv
A Goldstein, Z Zada, E Buchnik, M Schain, A Price, B Aubrey, SA Nastase, ...
82021
A shared linguistic space for transmitting our thoughts from brain to brain in natural conversations
Z Zada, A Goldstein, S Michelmann, E Simony, A Price, L Hasenfratz, ...
bioRxiv, 2023
72023
Brain embeddings with shared geometry to artificial contextual embeddings, as a code for representing language in the human brain
A Goldstein, A Dabush, B Aubrey, M Schain, SA Nastase, Z Zada, E Ham, ...
BioRxiv, 2022.03. 01.482586, 2022
72022
Deep speech-to-text models capture the neural basis of spontaneous speech in everyday conversations
A Goldstein, H Wang, L Niekerken, Z Zada, B Aubrey, T Sheffer, ...
bioRxiv, 2023.06. 26.546557, 2023
42023
Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns
A Goldstein, A Grinstein-Dabush, M Schain, H Wang, Z Hong, B Aubrey, ...
Nature communications 15 (1), 2768, 2024
32024
The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models
A Goldstein, E Ham, M Schain, S Nastase, Z Zada, A Dabush, B Aubrey, ...
arXiv preprint arXiv:2310.07106, 2023
22023
Scale matters: Large language models with billions (rather than millions) of parameters better match neural representations of natural language
Z Hong, K Wang, Z Zada, H Gazula, D Turner, B Aubrey, L Niekerken, ...
bioRxiv, 2024.06. 12.598513, 2024
2024
ALIGNING BRAINS INTO A SHARED SPACE IMPROVES THEIR ALIGNMENT TO LARGE LANGUAGE MODELS
A Bhattacharjee, Z Zada, H Wang, B Aubrey, W Doyle, P Dugan, ...
bioRxiv, 2024.06. 04.597448, 2024
2024
Larger Language Models Better Predict Neural Activity During Natural Language Processing
Z Hong, H Wang, Z Zada, H Gazula, B Aubrey, W Doyle, S Devore, ...
Brain-to-Brain Linguistic Coupling in Natural Conversations
Z Zada, S Nastase, A Goldstein, U Hasson
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