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Inducing brain-relevant bias in natural language processing models

Inducing brain-relevant bias in natural language processing models

29 October 2019
Dan Schwartz
Mariya Toneva
Leila Wehbe
ArXiv (abs)PDFHTML

Papers citing "Inducing brain-relevant bias in natural language processing models"

43 / 43 papers shown
Title
Using Graph Convolutional Networks to Address fMRI Small Data Problems
Using Graph Convolutional Networks to Address fMRI Small Data Problems
Thomas Screven
Andras Necz
J. Smucny
Ian Davidson
GNNMedIm
55
1
0
19 Feb 2025
On Creating A Brain-To-Text Decoder
On Creating A Brain-To-Text Decoder
Zenon Lamprou
Yashar Moshfeghi
80
0
0
10 Jan 2025
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)
Subba Reddy Oota
Zijiao Chen
Manish Gupta
R. Bapi
G. Jobard
F. Alexandre
X. Hinaut
3DVAI4CE
140
15
0
31 Dec 2024
Inducing Human-like Biases in Moral Reasoning Language Models
Inducing Human-like Biases in Moral Reasoning Language Models
Artem Karpov
Seong Hah Cho
Austin Meek
Raymond Koopmanschap
Lucy Farnik
Bogdan-Ionut Cirstea
LRM
94
0
0
23 Nov 2024
Modeling the Human Visual System: Comparative Insights from Response-Optimized and Task-Optimized Vision Models, Language Models, and different Readout Mechanisms
Modeling the Human Visual System: Comparative Insights from Response-Optimized and Task-Optimized Vision Models, Language Models, and different Readout Mechanisms
Shreya Saha
Ishaan Chadha
Meenakshi khosla
80
1
0
17 Oct 2024
Improving Semantic Understanding in Speech Language Models via Brain-tuning
Improving Semantic Understanding in Speech Language Models via Brain-tuning
Omer Moussa
Dietrich Klakow
Mariya Toneva
105
8
0
11 Oct 2024
Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and
  Performance of SGD for Fine-Tuning Language Models
Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models
Zeman Li
Xinwei Zhang
Peilin Zhong
Yuan Deng
Meisam Razaviyayn
Vahab Mirrokni
114
5
0
09 Oct 2024
Limited but consistent gains in adversarial robustness by co-training
  object recognition models with human EEG
Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG
Manshan Guo
Bhavin Choksi
Sari Saba-Sadiya
A. T. Gifford
Martina G. Vilas
Radoslaw Martin Cichy
Gemma Roig
AAML
66
0
0
05 Sep 2024
NeuralOOD: Improving Out-of-Distribution Generalization Performance with
  Brain-machine Fusion Learning Framework
NeuralOOD: Improving Out-of-Distribution Generalization Performance with Brain-machine Fusion Learning Framework
Shuangchen Zhao
Changde Du
Hui Li
Huiguang He
70
0
0
27 Aug 2024
Refining Self-Supervised Learnt Speech Representation using Brain
  Activations
Refining Self-Supervised Learnt Speech Representation using Brain Activations
Hengyu Li
Kangdi Mei
Zhaoci Liu
Yang Ai
Liping Chen
Jie Zhang
Zhenhua Ling
SSL
87
1
0
12 Jun 2024
Instruction-tuning Aligns LLMs to the Human Brain
Instruction-tuning Aligns LLMs to the Human Brain
Khai Loong Aw
Syrielle Montariol
Badr AlKhamissi
Martin Schrimpf
Antoine Bosselut
149
22
0
01 Dec 2023
Causal Graph in Language Model Rediscovers Cortical Hierarchy in Human
  Narrative Processing
Causal Graph in Language Model Rediscovers Cortical Hierarchy in Human Narrative Processing
Zhengqi He
Taro Toyoizumi
MILM
57
0
0
17 Nov 2023
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
131
3
0
15 Nov 2023
Speech language models lack important brain-relevant semantics
Speech language models lack important brain-relevant semantics
Subba Reddy Oota
Emin cCelik
Fatma Deniz
Mariya Toneva
67
11
0
08 Nov 2023
Decoding Stumpers: Large Language Models vs. Human Problem-Solvers
Decoding Stumpers: Large Language Models vs. Human Problem-Solvers
Alon Goldstein
Miriam Havin
Roi Reichart
Ariel Goldstein
LRMReLM
39
4
0
25 Oct 2023
Getting aligned on representational alignment
Getting aligned on representational alignment
Ilia Sucholutsky
Lukas Muttenthaler
Adrian Weller
Andi Peng
Andreea Bobu
...
Thomas Unterthiner
Andrew Kyle Lampinen
Klaus-Robert Muller
M. Toneva
Thomas Griffiths
154
91
0
18 Oct 2023
The Temporal Structure of Language Processing in the Human Brain
  Corresponds to The Layered Hierarchy of Deep Language Models
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
Samuel A. Nastase
Zaid Zada
...
Avinatan Hassidim
O. Devinsky
A. Flinker
Omer Levy
Uri Hasson
AI4CE
60
10
0
11 Oct 2023
Mapping Brains with Language Models: A Survey
Mapping Brains with Language Models: A Survey
Antonia Karamolegkou
Mostafa Abdou
Anders Søgaard
57
10
0
08 Jun 2023
Coupling Artificial Neurons in BERT and Biological Neurons in the Human
  Brain
Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain
Xu Liu
Mengyue Zhou
Gaosheng Shi
Yu Du
Lin Zhao
Zihao Wu
David Liu
Tianming Liu
Xintao Hu
77
11
0
27 Mar 2023
Training language models to summarize narratives improves brain
  alignment
Training language models to summarize narratives improves brain alignment
Khai Loong Aw
Mariya Toneva
96
28
0
21 Dec 2022
Joint processing of linguistic properties in brains and language models
Joint processing of linguistic properties in brains and language models
Subba Reddy Oota
Manish Gupta
Mariya Toneva
78
31
0
15 Dec 2022
Language models and brain alignment: beyond word-level semantics and
  prediction
Language models and brain alignment: beyond word-level semantics and prediction
Gabriele Merlin
Mariya Toneva
37
25
0
01 Dec 2022
Net2Brain: A Toolbox to compare artificial vision models with human
  brain responses
Net2Brain: A Toolbox to compare artificial vision models with human brain responses
Domenic Bersch
Kshitij Dwivedi
Martina Vilas
Radoslaw Martin Cichy
Gemma Roig
72
5
0
20 Aug 2022
Can Brain Signals Reveal Inner Alignment with Human Languages?
Can Brain Signals Reveal Inner Alignment with Human Languages?
William Jongwon Han
Jielin Qiu
Jiacheng Zhu
Mengdi Xu
Douglas Weber
Yue Liu
Ding Zhao
119
13
0
10 Aug 2022
Toward a realistic model of speech processing in the brain with
  self-supervised learning
Toward a realistic model of speech processing in the brain with self-supervised learning
Juliette Millet
Charlotte Caucheteux
Pierre Orhan
Yves Boubenec
Alexandre Gramfort
Ewan Dunbar
Christophe Pallier
J. King
112
98
0
03 Jun 2022
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of
  fMRI Brain Activity?
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?
Subba Reddy Oota
Jashn Arora
Veeral Agarwal
Mounika Marreddy
Manish Gupta
Raju Surampudi Bapi
61
45
0
03 May 2022
Visio-Linguistic Brain Encoding
Visio-Linguistic Brain Encoding
Subba Reddy Oota
Jashn Arora
Vijay Rowtula
Manish Gupta
R. Bapi
AI4CE
48
18
0
18 Apr 2022
Cross-view Brain Decoding
Cross-view Brain Decoding
Subba Reddy Oota
Jashn Arora
Manish Gupta
R. Bapi
48
1
0
18 Apr 2022
Connecting Neural Response measurements & Computational Models of
  language: a non-comprehensive guide
Connecting Neural Response measurements & Computational Models of language: a non-comprehensive guide
Mostafa Abdou
74
8
0
10 Mar 2022
Deep Transfer Learning & Beyond: Transformer Language Models in
  Information Systems Research
Deep Transfer Learning & Beyond: Transformer Language Models in Information Systems Research
Ross Gruetzemacher
D. Paradice
78
35
0
18 Oct 2021
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing
Nora Hollenstein
Cédric Renggli
B. Glaus
Maria Barrett
M. Troendle
N. Langer
Ce Zhang
121
35
0
17 Feb 2021
Does injecting linguistic structure into language models lead to better
  alignment with brain recordings?
Does injecting linguistic structure into language models lead to better alignment with brain recordings?
Mostafa Abdou
Ana Valeria González
Mariya Toneva
Daniel Hershcovich
Anders Søgaard
67
15
0
29 Jan 2021
Brain2Word: Decoding Brain Activity for Language Generation
Brain2Word: Decoding Brain Activity for Language Generation
Nicolas Affolter
Béni Egressy
Damian Pascual
Roger Wattenhofer
103
24
0
10 Sep 2020
Human brain activity for machine attention
Human brain activity for machine attention
Lukas Muttenthaler
Nora Hollenstein
Maria Barrett
80
14
0
09 Jun 2020
Data-driven models and computational tools for neurolinguistics: a
  language technology perspective
Data-driven models and computational tools for neurolinguistics: a language technology perspective
Ekaterina Artemova
Amir Bakarov
A. Artemov
Evgeny Burnaev
M. Sharaev
46
4
0
23 Mar 2020
Fine-Tuning Pretrained Language Models: Weight Initializations, Data
  Orders, and Early Stopping
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
Jesse Dodge
Gabriel Ilharco
Roy Schwartz
Ali Farhadi
Hannaneh Hajishirzi
Noah A. Smith
103
598
0
15 Feb 2020
ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading
  and Annotation
ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation
Nora Hollenstein
M. Troendle
Ce Zhang
N. Langer
98
90
0
02 Dec 2019
What Does BERT Look At? An Analysis of BERT's Attention
What Does BERT Look At? An Analysis of BERT's Attention
Kevin Clark
Urvashi Khandelwal
Omer Levy
Christopher D. Manning
MILM
272
1,609
0
11 Jun 2019
Understanding language-elicited EEG data by predicting it from a
  fine-tuned language model
Understanding language-elicited EEG data by predicting it from a fine-tuned language model
Dan Schwartz
Tom Michael Mitchell
67
22
0
02 Apr 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.9K
95,531
0
11 Oct 2018
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
1.2K
7,210
0
20 Apr 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
930
133,201
0
12 Jun 2017
Aligning Books and Movies: Towards Story-like Visual Explanations by
  Watching Movies and Reading Books
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books
Yukun Zhu
Ryan Kiros
R. Zemel
Ruslan Salakhutdinov
R. Urtasun
Antonio Torralba
Sanja Fidler
160
2,557
0
22 Jun 2015
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