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Brain-computer interfaces (BCI) are an important mode of alternative and augmentative communication for many people. Unlike keyboards, many BCI systems do not display even the 26 letters of English at one time, let alone all the symbols in…

Computation and Language · Computer Science 2023-05-09 Shijia Liu , David A. Smith

Recent advancements in large language models (LLMs) provide a more effective pathway for upgrading brain-computer interface (BCI) technology in terms of user interaction. The widespread adoption of BCIs in daily application scenarios is…

Human-Computer Interaction · Computer Science 2025-02-19 Jing Jin , Yutao Zhang , Ruitian Xu , Yixin Chen

Generating human language through non-invasive brain-computer interfaces (BCIs) has the potential to unlock many applications, such as serving disabled patients and improving communication. Currently, however, generating language via BCIs…

Computation and Language · Computer Science 2025-11-04 Ziyi Ye , Qingyao Ai , Yiqun Liu , Maarten de Rijke , Min Zhang , Christina Lioma , Tuukka Ruotsalo

Brain-computer interface (BCI) spellers can render a new communication channel independent of peripheral nervous system, which are especially valuable for patients with severe motor disabilities. However, current BCI spellers often require…

Human-Computer Interaction · Computer Science 2025-07-30 JIaheng Wang , Yucun Zhong , Chengjie Huang , Lin Yao

Conventional augmentative and alternative communication (AAC) systems and language-learning platforms often fail to adapt in real time to the user's cognitive and linguistic needs, especially in neurological conditions such as post-stroke…

Human-Computer Interaction · Computer Science 2025-08-01 Ismail Hossain , Mridul Banik

In recent years, the integration of large language models (LLMs) has revolutionized the field of robotics, enabling robots to communicate, understand, and reason with human-like proficiency. This paper explores the multifaceted impact of…

Robotics · Computer Science 2024-08-16 Yeseung Kim , Dohyun Kim , Jieun Choi , Jisang Park , Nayoung Oh , Daehyung Park

This paper explores silent speech decoding in active brain-computer interface (BCI) systems, which offer more natural and flexible communication than traditional BCI applications. We collected a new silent speech dataset of over 120 hours…

Artificial intelligence is making spectacular progress, and one of the best examples is the development of large language models (LLMs) such as OpenAI's GPT series. In these lectures, written for readers with a background in mathematics or…

Computation and Language · Computer Science 2023-10-09 Michael R. Douglas

In recent years, the rapid advancement of Large Language Models (LLMs) such as the Generative Pre-trained Transformer (GPT) has attracted increasing attention due to their potential in a variety of practical applications. The application of…

Artificial Intelligence · Computer Science 2025-04-24 Jinzhou Lin , Han Gao , Xuxiang Feng , Rongtao Xu , Changwei Wang , Man Zhang , Li Guo , Shibiao Xu

Brain-Computer Interface (BCI) technology facilitates direct communication between the human brain and external devices, representing a substantial advancement in human-machine interaction. This review provides an in-depth analysis of…

Human-Computer Interaction · Computer Science 2025-03-24 Yifan Wang , Cheng Jiang , Chenzhong Li

Large Language Models (LLMs) have been transformative. They are pre-trained foundational models that are self-supervised and can be adapted with fine tuning to a wide range of natural language tasks, each of which previously would have…

Computation and Language · Computer Science 2023-02-22 Terrence Sejnowski

Robots are increasingly common in industry and daily life, such as in nursing homes where they can assist staff. A key challenge is developing intuitive interfaces for easy communication. The use of Large Language Models (LLMs) like GPT-4…

Robotics · Computer Science 2024-08-01 Stanislau Stankevich , Wojciech Dudek

Intracranial language brain-computer interfaces (BCIs) are a promising route for restoring communication in people with severe motor and speech impairments, but clinical translation remains limited by fragmented evidence and unresolved…

Neurons and Cognition · Quantitative Biology 2026-03-17 Dongyi He , Wai Ting Siok , Nizhuan Wang

This paper explores the potential of constructing an AI spoken dialogue system that "thinks how to respond" and "thinks how to speak" simultaneously, which more closely aligns with the human speech production process compared to the current…

Computation and Language · Computer Science 2023-09-21 Xinyu Zhou , Delong Chen , Yudong Chen

Transformer-based Large Language Models (LLMs) have been applied in diverse areas such as knowledge bases, human interfaces, and dynamic agents, and marking a stride towards achieving Artificial General Intelligence (AGI). However, current…

Computation and Language · Computer Science 2024-02-27 Yunpeng Huang , Jingwei Xu , Junyu Lai , Zixu Jiang , Taolue Chen , Zenan Li , Yuan Yao , Xiaoxing Ma , Lijuan Yang , Hao Chen , Shupeng Li , Penghao Zhao

Large language models (LLMs) are powerful artificial intelligence (AI) tools transforming how research is conducted. However, their use in research has been met with skepticism, due to concerns about hallucinations, biases and potential…

Artificial Intelligence · Computer Science 2025-07-08 Ruian Ke , Ruy M. Ribeiro

Recently, the intersection of Large Language Models (LLMs) and Computer Vision (CV) has emerged as a pivotal area of research, driving significant advancements in the field of Artificial Intelligence (AI). As transformers have become the…

Computer Vision and Pattern Recognition · Computer Science 2023-11-29 Raby Hamadi

Cognitive Behavioral Therapy (CBT) is a well-established intervention for mitigating psychological issues by modifying maladaptive cognitive and behavioral patterns. However, delivery of CBT is often constrained by resource limitations and…

Artificial Intelligence · Computer Science 2024-07-30 Meng Jiang , Qing Zhao , Jianqiang Li , Fan Wang , Tianyu He , Xinyan Cheng , Bing Xiang Yang , Grace W. K. Ho , Guanghui Fu

As the proliferation of technology dramatically infiltrates all aspects of modern life, in many ways the world is becoming so dynamic and complex that technological capabilities are overwhelming human capabilities to optimally interact with…

Human-Computer Interaction · Computer Science 2012-11-06 Brent J. Lance , Scott E. Kerick , Anthony J. Ries , Kelvin S. Oie , Kaleb McDowell

Recent advancements in Large Language Models (LLMs), particularly those built on Transformer architectures, have significantly broadened the scope of natural language processing (NLP) applications, transcending their initial use in chatbot…

Computation and Language · Computer Science 2024-05-29 Chen Wang , Jin Zhao , Jiaqi Gong
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