{"list":"other","total":59,"rows":[{"id":"1904.09675","title":"BERTScore: Evaluating Text Generation with BERT","created":"2019-04-21","cited_by_count":5512},{"id":"2505.13447","title":"Mean Flows for One-step Generative Modeling","created":"2025-05-19","cited_by_count":561},{"id":"2106.11170","title":"Transformer-based Spatial-Temporal Feature Learning for EEG Decoding","created":"2021-06-11","cited_by_count":97},{"id":"2301.11757","title":"Mo\\^usai: Text-to-Music Generation with Long-Context Latent Diffusion","created":"2023-01-27","cited_by_count":78},{"id":"2311.03764","title":"Neuro-GPT: Towards A Foundation Model for EEG","created":"2023-11-07","cited_by_count":74},{"id":"2302.14367","title":"BrainBERT: Self-supervised representation learning for intracranial recordings","created":"2023-02-28","cited_by_count":72},{"id":"2505.18185","title":"BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals","created":"2025-05-18","cited_by_count":27},{"id":"2307.10246","title":"Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)","created":"2023-07-17","cited_by_count":21},{"id":"2407.20254","title":"EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification","created":"2024-07-20","cited_by_count":21},{"id":"2405.02165","title":"EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer","created":"2024-05-03","cited_by_count":20},{"id":"2506.10165","title":"The 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset","created":"2025-06-11","cited_by_count":17},{"id":"2411.08343","title":"Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli","created":"2024-11-13","cited_by_count":16},{"id":"2502.06438","title":"FEMBA: Efficient and Scalable EEG Analysis with a Bidirectional Mamba Foundation Model","created":"2025-02-10","cited_by_count":16},{"id":"2406.01512","title":"MAD: Multi-Alignment MEG-to-Text Decoding","created":"2024-06-03","cited_by_count":15},{"id":"2505.13446","title":"Unlocking Non-Invasive Brain-to-Text","created":"2025-05-19","cited_by_count":15},{"id":"2510.09095","title":"Neural Codecs as Biosignal Tokenizers","created":"2025-10-10","cited_by_count":14},{"id":"2403.01748","title":"NeuSpeech: Decode Neural signal as Speech","created":"2024-03-04","cited_by_count":11},{"id":"2409.00121","title":"BELT-2: Bootstrapping EEG-to-Language representation alignment for multi-task brain decoding","created":"2024-08-28","cited_by_count":10},{"id":"2412.17227","title":"Brain-to-Text Benchmark '24: Lessons Learned","created":"2024-12-23","cited_by_count":8},{"id":"2606.00815","title":"OmniEEG-Bench: A Standardized Evaluation Benchmark for EEG Foundation Models","created":"2026-05-30","cited_by_count":8},{"id":"2410.20916","title":"NeuGPT: Unified multi-modal Neural GPT","created":"2024-10-28","cited_by_count":7},{"id":"2602.02494","title":"MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training","created":"2026-02-02","cited_by_count":7},{"id":"2507.02800","title":"Time-Masked Transformers with Lightweight Test-Time Adaptation for Neural Speech Decoding","created":"2025-07-03","cited_by_count":6},{"id":"2505.17099","title":"Learning Interpretable Representations Leads to Semantically Faithful EEG-to-Text Generation","created":"2025-05-21","cited_by_count":5},{"id":"2608.25204","title":"LibriBrain100: One Hundred Hours of Broad and Deep MEG Data for Neural Speech Decoding at Scale","created":"2026-08-25","cited_by_count":5},{"id":"2504.21214","title":"Pretraining Large Brain Language Model for Active BCI: Silent Speech","created":"2025-04-29","cited_by_count":4},{"id":"2506.00854","title":"EEG2TEXT-CN: An Exploratory Study of Open-Vocabulary Chinese Text-EEG Alignment via Large Language Model and Contrastive Learning on ChineseEEG","created":"2025-06-01","cited_by_count":4},{"id":"2501.06326","title":"On Creating A Brain-To-Text Decoder","created":"2025-01-10","cited_by_count":3},{"id":"2502.15172","title":"BP-GPT: Auditory Neural Decoding Using fMRI-prompted LLM","created":"2025-02-21","cited_by_count":3},{"id":"2502.17465","title":"Bridging Brain Signals and Language: A Deep Learning Approach to EEG-to-Text Decoding","created":"2025-02-11","cited_by_count":3},{"id":"2506.14783","title":"ETS: Open Vocabulary Electroencephalography-To-Text Decoding and Sentiment Classification","created":"2025-05-26","cited_by_count":3},{"id":"2605.08075","title":"Zero-Shot Imagined Speech Decoding via Imagined-to-Listened MEG Mapping","created":"2026-05-08","cited_by_count":3},{"id":"2605.24524","title":"What Are We Actually Decoding? Source Attribution for Non-Invasive Brain-to-Language Retrieval","created":"2026-05-23","cited_by_count":3},{"id":"2609.02887","title":"A Common Measure of Communication for Speech Brain-Computer Interfaces","created":"2026-09-02","cited_by_count":3},{"id":"2208.00025","title":"Six-center Assessment of CNN-Transformer with Belief Matching Loss for Patient-independent Seizure Detection in EEG","created":"2022-07-29","cited_by_count":2},{"id":"2405.18639","title":"Improving Speech Decoding from ECoG with Self-Supervised Pretraining","created":"2024-05-28","cited_by_count":2},{"id":"2603.17109","title":"SENSE: Efficient EEG-to-Text via Privacy-Preserving Semantic Retrieval","created":"2026-03-17","cited_by_count":2},{"id":"2606.24087","title":"NeuroSonic: Conditional Flow Matching for EEG-to-Speech Reconstruction","created":"2026-06-23","cited_by_count":2},{"id":"2608.22420","title":"Cross-Subject Generalization in Decoding Perceived Speech from Non-Invasive Brain Recordings","created":"2026-08-23","cited_by_count":2},{"id":"2609.03231","title":"The 2026 PNPL Competition: Word Classification and Efficient Cross-Subject Generalisation in LibriBrain100","created":"2026-09-03","cited_by_count":2},{"id":"2609.10296","title":"The Semantic Bottleneck: Leveraging Semantic Representations for Non-Invasive Speech Decoding","created":"2026-09-09","cited_by_count":2},{"id":"2401.05187","title":"Comparison of linear and nonlinear methods for decoding selective attention to speech from ear-EEG recordings","created":"2024-01-10","cited_by_count":1},{"id":"2402.15733","title":"ArEEG_Chars: Dataset for Envisioned Speech Recognition using EEG for Arabic Characters","created":"2024-02-24","cited_by_count":1},{"id":"2408.05362","title":"MindSpeech: Continuous Imagined Speech Decoding using High-Density fNIRS and Prompt Tuning for Advanced Human-AI Interaction","created":"2024-07-25","cited_by_count":1},{"id":"2411.18888","title":"ArEEG_Words: Dataset for Envisioned Speech Recognition using EEG for Arabic Words","created":"2024-11-28","cited_by_count":1},{"id":"2501.09700","title":"Cueless EEG imagined speech for subject identification: dataset and benchmarks","created":"2025-01-16","cited_by_count":1},{"id":"2505.13936","title":"EEG-to-Text Translation: A Model for Deciphering Human Brain Activity","created":"2025-05-20","cited_by_count":1},{"id":"2509.07202","title":"Neurocognitive Modeling for Text Generation: Deep Learning Architecture for EEG Data","created":"2025-09-08","cited_by_count":1},{"id":"2511.21746","title":"DELTA: Language Diffusion-based EEG-to-Text Architecture","created":"2025-11-22","cited_by_count":1},{"id":"2601.00670","title":"Wave2Word: A Multimodal Transformer Framework for Joint EEG-Text Alignment and Multi-Task Representation Learning in Neurocritical Care","created":"2026-01-02","cited_by_count":1},{"id":"2601.21148","title":"BrainStack: Neuro-MoE with Functionally Guided Expert Routing for EEG-Based Language Decoding","created":"2026-01-29","cited_by_count":1},{"id":"2602.20932","title":"Hierarchic-EEG2Text: Assessing EEG-To-Text Decoding across Hierarchical Abstraction Levels","created":"2026-02-24","cited_by_count":1},{"id":"2603.03312","title":"Escaping the BLEU Trap: A Signal-Grounded Framework with Decoupled Semantic Guidance for EEG-to-Text Decoding","created":"2026-02-09","cited_by_count":1},{"id":"2603.12279","title":"Toward Robust, Reproducible, and Widely Accessible Intracranial Language Brain-Computer Interfaces: A Comprehensive Review of Neural Mechanisms, Hardware, Algorithms, Evaluation, Clinical Pathways and Future Directions","created":"2026-03-03","cited_by_count":1},{"id":"2603.14002","title":"LightBeam: An Accurate and Memory-Efficient CTC Decoder for Speech Neuroprostheses","created":"2026-03-14","cited_by_count":1},{"id":"2605.17503","title":"RAG-based EEG-to-Text Translation Using Deep Learning and LLMs","created":"2026-05-17","cited_by_count":1},{"id":"2606.01264","title":"A 1000-hour EEG-EMG-audio dataset of Japanese speech production","created":"2026-05-31","cited_by_count":1},{"id":"2607.27268","title":"Do EEG Foundation Models Transfer to Speech? A Benchmark on Overt and Imagined Speech Decoding","created":"2026-07-29","cited_by_count":1},{"id":"2609.04455","title":"Brain2Speech-Net: Fast and Intelligible Brain-to-Speech Synthesis Without Text Decoding","created":"2026-09-03","cited_by_count":1}],"next_cursor":null}