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Tuning In to Neural Encoding: Linking Human Brain and Artificial
  Supervised Representations of Language

Tuning In to Neural Encoding: Linking Human Brain and Artificial Supervised Representations of Language

5 October 2023
Jingyuan Sun
Xiaohan Zhang
Marie-Francine Moens
ArXivPDFHTML

Papers citing "Tuning In to Neural Encoding: Linking Human Brain and Artificial Supervised Representations of Language"

5 / 5 papers shown
Title
Divergences between Language Models and Human Brains
Divergences between Language Models and Human Brains
Yuchen Zhou
Emmy Liu
Graham Neubig
Michael J. Tarr
Leila Wehbe
22
1
0
15 Nov 2023
Model-based analysis of brain activity reveals the hierarchy of language
  in 305 subjects
Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects
Charlotte Caucheteux
Alexandre Gramfort
J. King
35
31
0
12 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
275
3,784
0
18 Apr 2021
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
224
1,281
0
18 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
1