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Learning Interpretable Representations Leads to Semantically Faithful EEG-to-Text Generation

Learning Interpretable Representations Leads to Semantically Faithful EEG-to-Text Generation

21 May 2025
Xiaozhao Liu
Dinggang Shen
Xihui Liu
ArXivPDFHTML

Papers citing "Learning Interpretable Representations Leads to Semantically Faithful EEG-to-Text Generation"

37 / 37 papers shown
Title
Pretraining Large Brain Language Model for Active BCI: Silent Speech
Pretraining Large Brain Language Model for Active BCI: Silent Speech
Jinzhao Zhou
Zehong Cao
Yiqun Duan
Connor Barkley
Daniel Leong
...
Ziyi Zhao
T. Do
Yu-Cheng Chang
Sheng-Fu Liang
Chin-Teng Lin
67
1
0
29 Apr 2025
Brain-to-Text Decoding: A Non-invasive Approach via Typing
Brain-to-Text Decoding: A Non-invasive Approach via Typing
Jarod Lévy
Mingfang Zhang
Svetlana Pinet
Jérémy Rapin
Hubert J. Banville
Stéphane DÁscoli
J. King
69
5
0
18 Feb 2025
Layer by Layer: Uncovering Hidden Representations in Language Models
Layer by Layer: Uncovering Hidden Representations in Language Models
Oscar Skean
Md Rifat Arefin
Dan Zhao
Niket Patel
Jalal Naghiyev
Yann LeCun
Ravid Shwartz-Ziv
MILM
AIFin
141
19
0
04 Feb 2025
OneLLM: One Framework to Align All Modalities with Language
OneLLM: One Framework to Align All Modalities with Language
Jiaming Han
Kaixiong Gong
Yiyuan Zhang
Jiaqi Wang
Kaipeng Zhang
Dahua Lin
Yu Qiao
Peng Gao
Xiangyu Yue
MLLM
140
121
0
10 Jan 2025
BrainBits: How Much of the Brain are Generative Reconstruction Methods
  Using?
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?
David Mayo
Christopher Wang
Asa Harbin
Abdulrahman Alabdulkareem
Albert Eaton Shaw
Boris Katz
Andrei Barbu
DiffM
75
2
0
05 Nov 2024
Estimating the Hallucination Rate of Generative AI
Estimating the Hallucination Rate of Generative AI
Andrew Jesson
Nicolas Beltran-Velez
Quentin Chu
Sweta Karlekar
Jannik Kossen
Yarin Gal
John P. Cunningham
David M. Blei
98
8
0
11 Jun 2024
Are EEG-to-Text Models Working?
Are EEG-to-Text Models Working?
Hyejeong Jo
Yiqian Yang
Juhyeok Han
Yiqun Duan
Hui Xiong
Won Hee Lee
57
17
0
10 May 2024
Hallucination of Multimodal Large Language Models: A Survey
Hallucination of Multimodal Large Language Models: A Survey
Zechen Bai
Pichao Wang
Tianjun Xiao
Tong He
Zongbo Han
Zheng Zhang
Mike Zheng Shou
VLM
LRM
125
167
0
29 Apr 2024
Unveiling Thoughts: A Review of Advancements in EEG Brain Signal
  Decoding into Text
Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding into Text
Saydul Akbar Murad
Nick Rahimi
51
4
0
26 Apr 2024
When does word order matter and when doesn't it?
When does word order matter and when doesn't it?
Xuanda Chen
T. O'Donnell
Siva Reddy
52
1
0
29 Feb 2024
Enhancing EEG-to-Text Decoding through Transferable Representations from
  Pre-trained Contrastive EEG-Text Masked Autoencoder
Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder
Jiaqi Wang
Zhenxi Song
Zhengyu Ma
Xipeng Qiu
Min Zhang
Zhiguo Zhang
83
6
0
27 Feb 2024
Brain decoding: toward real-time reconstruction of visual perception
Brain decoding: toward real-time reconstruction of visual perception
Yohann Benchetrit
Hubert J. Banville
Jean-Rémi King
68
50
0
18 Oct 2023
A Survey of Hallucination in Large Foundation Models
A Survey of Hallucination in Large Foundation Models
Vipula Rawte
A. Sheth
Amitava Das
HILM
LRM
119
370
0
12 Sep 2023
Towards Large-scale 3D Representation Learning with Multi-dataset Point
  Prompt Training
Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training
Xiaoyang Wu
Zhuotao Tian
Xin Wen
Bohao Peng
Xihui Liu
Kaicheng Yu
Hengshuang Zhao
41
48
0
18 Aug 2023
A Survey on Multimodal Large Language Models
A Survey on Multimodal Large Language Models
Shukang Yin
Chaoyou Fu
Sirui Zhao
Ke Li
Xing Sun
Tong Xu
Enhong Chen
MLLM
LRM
75
571
0
23 Jun 2023
Brain Diffusion for Visual Exploration: Cortical Discovery using Large
  Scale Generative Models
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models
Andrew F. Luo
Margaret M. Henderson
Leila Wehbe
Michael J. Tarr
DiffM
32
20
0
05 Jun 2023
Evaluating Object Hallucination in Large Vision-Language Models
Evaluating Object Hallucination in Large Vision-Language Models
Yifan Li
Yifan Du
Kun Zhou
Jinpeng Wang
Wayne Xin Zhao
Ji-Rong Wen
MLLM
LRM
217
748
0
17 May 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
385
4,465
0
30 Jan 2023
Scalable Diffusion Models with Transformers
Scalable Diffusion Models with Transformers
William S. Peebles
Saining Xie
GNN
66
2,182
0
19 Dec 2022
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked
  Modeling for Vision Decoding
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding
Zijiao Chen
Jiaxin Qing
Tiange Xiang
Wan Lin Yue
J. Zhou
DiffM
MedIm
55
152
0
13 Nov 2022
Scaling Instruction-Finetuned Language Models
Scaling Instruction-Finetuned Language Models
Hyung Won Chung
Le Hou
Shayne Longpre
Barret Zoph
Yi Tay
...
Jacob Devlin
Adam Roberts
Denny Zhou
Quoc V. Le
Jason W. Wei
ReLM
LRM
146
3,072
0
20 Oct 2022
Decoding speech perception from non-invasive brain recordings
Decoding speech perception from non-invasive brain recordings
Alexandre Défossez
Charlotte Caucheteux
Jérémy Rapin
Ori Kabeli
J. King
63
123
0
25 Aug 2022
When classifying grammatical role, BERT doesn't care about word order...
  except when it matters
When classifying grammatical role, BERT doesn't care about word order... except when it matters
Isabel Papadimitriou
Richard Futrell
Kyle Mahowald
MILM
51
30
0
11 Mar 2022
Survey of Hallucination in Natural Language Generation
Survey of Hallucination in Natural Language Generation
Ziwei Ji
Nayeon Lee
Rita Frieske
Tiezheng Yu
D. Su
...
Delong Chen
Wenliang Dai
Ho Shu Chan
Andrea Madotto
Pascale Fung
HILM
LRM
174
2,327
0
08 Feb 2022
ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization
ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization
Mengsay Loem
Sho Takase
Masahiro Kaneko
Naoaki Okazaki
23
13
0
14 Jan 2022
Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot
  Sentiment Classification
Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification
Zhenhailong Wang
Heng Ji
105
75
0
05 Dec 2021
Low-Dimensional Structure in the Space of Language Representations is
  Reflected in Brain Responses
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses
Richard Antonello
Javier S. Turek
Vy A. Vo
Alexander G. Huth
39
40
0
09 Jun 2021
Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding
Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding
Xia Wei
Pablo Ortega
Aldo A. Faisal
18
24
0
09 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
681
28,659
0
26 Feb 2021
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
46
85
0
02 Dec 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
M. Lewis
Yinhan Liu
Naman Goyal
Marjan Ghazvininejad
Abdel-rahman Mohamed
Omer Levy
Veselin Stoyanov
Luke Zettlemoyer
AIMat
VLM
141
10,720
0
29 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
270
19,824
0
23 Oct 2019
Interpreting and improving natural-language processing (in machines)
  with natural language-processing (in the brain)
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
Mariya Toneva
Leila Wehbe
MILM
AI4CE
57
225
0
28 May 2019
Z-Forcing: Training Stochastic Recurrent Networks
Z-Forcing: Training Stochastic Recurrent Networks
Anirudh Goyal
Alessandro Sordoni
Marc-Alexandre Côté
Nan Rosemary Ke
Yoshua Bengio
BDL
51
183
0
15 Nov 2017
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDL
SSL
OCL
161
4,928
0
02 Nov 2017
Transfer Learning in Brain-Computer Interfaces
Transfer Learning in Brain-Computer Interfaces
V. Jayaram
Morteza Alamgir
Yasemin Altun
Bernhard Schölkopf
Moritz Grosse-Wentrup
OOD
28
370
0
01 Dec 2015
Deep Neural Networks Rival the Representation of Primate IT Cortex for
  Core Visual Object Recognition
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
C. Cadieu
Ha Hong
Daniel L. K. Yamins
Nicolas Pinto
Diego Ardila
E. Solomon
N. Majaj
J. DiCarlo
59
784
0
12 Jun 2014
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