Copertina

Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Jiaqi, Song, Zhenxi, Ma, Zhengyu, Qiu, Xipeng, Zhang, Min, Zhang, Zhiguo
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

BrainECHO: Semantic Brain Signal Decoding through Vector-Quantized Spectrogram Reconstruction for Whisper-Enhanced Text Generation
di: Li, Jilong, et al.
Pubblicazione: (2024)

EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer
di: Liu, Hanwen, et al.
Pubblicazione: (2024)

EEG-ReMinD: Enhancing Neurodegenerative EEG Decoding through Self-Supervised State Reconstruction-Primed Riemannian Dynamics
di: Wang, Zirui, et al.
Pubblicazione: (2025)

Are EEG-to-Text Models Working?
di: Jo, Hyejeong, et al.
Pubblicazione: (2024)

Learning Interpretable Representations Leads to Semantically Faithful EEG-to-Text Generation
di: Liu, Xiaozhao, et al.
Pubblicazione: (2025)

Enhancing Representation Learning of EEG Data with Masked Autoencoders
di: Zhou, Yifei, et al.
Pubblicazione: (2024)

Text Embeddings by Weakly-Supervised Contrastive Pre-training
di: Wang, Liang, et al.
Pubblicazione: (2022)

DELTA: Language Diffusion-based EEG-to-Text Architecture
di: Jeon, Mingyu, et al.
Pubblicazione: (2025)

Brain-CLIPLM: Decoding Compressed Semantic Representations in EEG for Language Reconstruction
di: Yang, Xiaoli, et al.
Pubblicazione: (2026)

Bridging Brain Signals and Language: A Deep Learning Approach to EEG-to-Text Decoding
di: Gedawy, Mostafa El, et al.
Pubblicazione: (2025)

The Efficiency of Pre-training with Objective Masking in Pseudo Labeling for Semi-Supervised Text Classification
di: Hatefi, Arezoo, et al.
Pubblicazione: (2025)

Text-to-Code Generation with Modality-relative Pre-training
di: Christopoulou, Fenia, et al.
Pubblicazione: (2024)

EEG2TEXT-CN: An Exploratory Study of Open-Vocabulary Chinese Text-EEG Alignment via Large Language Model and Contrastive Learning on ChineseEEG
di: Lu, Jacky Tai-Yu, et al.
Pubblicazione: (2025)

Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG
di: Wei, Xinxu, et al.
Pubblicazione: (2024)

Escaping the BLEU Trap: A Signal-Grounded Framework with Decoupled Semantic Guidance for EEG-to-Text Decoding
di: Wang, Yuchen, et al.
Pubblicazione: (2026)

Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)
di: Mishra, Abhijit, et al.
Pubblicazione: (2024)

Multi-Amateur Contrastive Decoding for Text Generation
di: Sen, Jaydip, et al.
Pubblicazione: (2025)

MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder
di: Li, Lei, et al.
Pubblicazione: (2024)

Automated Detection of Pre-training Text in Black-box LLMs
di: Hu, Ruihan, et al.
Pubblicazione: (2025)

EEG-to-Text Translation: A Model for Deciphering Human Brain Activity
di: Murad, Saydul Akbar, et al.
Pubblicazione: (2025)

Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding
di: Wang, Cheng, et al.
Pubblicazione: (2024)

RAG-based EEG-to-Text Translation Using Deep Learning and LLMs
di: Collautti, Enrico, et al.
Pubblicazione: (2026)

Hierarchic-EEG2Text: Assessing EEG-To-Text Decoding across Hierarchical Abstraction Levels
di: Sharma, Anupam, et al.
Pubblicazione: (2026)

EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations
di: Song, Zhenxi, et al.
Pubblicazione: (2024)

New Intent Discovery with Pre-training and Contrastive Learning
di: Zhang, Yuwei, et al.
Pubblicazione: (2022)

DuoDecoding: Hardware-aware Heterogeneous Speculative Decoding with Dynamic Multi-Sequence Drafting
di: Lv, Kai, et al.
Pubblicazione: (2025)

Masked Structural Growth for 2x Faster Language Model Pre-training
di: Yao, Yiqun, et al.
Pubblicazione: (2023)

Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM
di: Zhang, Ruohong, et al.
Pubblicazione: (2023)

Order-Based Pre-training Strategies for Procedural Text Understanding
di: Nandy, Abhilash, et al.
Pubblicazione: (2024)

EEG-MedRAG: Enhancing EEG-based Clinical Decision-Making via Hierarchical Hypergraph Retrieval-Augmented Generation
di: Wang, Yi, et al.
Pubblicazione: (2025)

ColMate: Contrastive Late Interaction and Masked Text for Multimodal Document Retrieval
di: Masry, Ahmed, et al.
Pubblicazione: (2025)

IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models
di: Feng, Tao, et al.
Pubblicazione: (2024)

Scaling Speech-Text Pre-training with Synthetic Interleaved Data
di: Zeng, Aohan, et al.
Pubblicazione: (2024)

Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
di: Gupta, Gunshi, et al.
Pubblicazione: (2024)

A Survey of Pre-trained Language Models for Processing Scientific Text
di: Ho, Xanh, et al.
Pubblicazione: (2024)

Personalized Text Generation with Contrastive Activation Steering
di: Zhang, Jinghao, et al.
Pubblicazione: (2025)

Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction
di: Zhang, Chong, et al.
Pubblicazione: (2024)

Bridging Speech and Text: Enhancing ASR with Pinyin-to-Character Pre-training in LLMs
di: Yuhang, Yang, et al.
Pubblicazione: (2024)

Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding
di: Xu, Derong, et al.
Pubblicazione: (2024)

Neurocognitive Modeling for Text Generation: Deep Learning Architecture for EEG Data
di: Khushiyant
Pubblicazione: (2025)