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With the recent developments in neuroscience and engineering, it is now possible to record brain signals and decode them. Also, a growing number of stimulation methods have emerged to modulate and influence brain activity. Current…

Systems and Control · Electrical Eng. & Systems 2024-01-18 Hoda Fares , Margherita Ronchini , Milad Zamani , Hooman Farkhani , Farshad Moradi

Large Language Models (LLMs) such as ChatGPT have transformed how we interact with and understand the capabilities of Artificial Intelligence (AI). However, the intersection of LLMs with the burgeoning field of Quantum Machine Learning…

Quantum Physics · Physics 2024-03-15 Yidong Liao , Chris Ferrie

Effective patient-provider communication is crucial in clinical care, directly impacting patient outcomes and quality of life. Traditional evaluation methods, such as human ratings, patient feedback, and provider self-assessments, are often…

Computation and Language · Computer Science 2024-09-25 Zhiyuan Wang , Fangxu Yuan , Virginia LeBaron , Tabor Flickinger , Laura E. Barnes

Recently, there is an increasing interest in using artificial intelligence (AI) to automate aspects of the research process, or even autonomously conduct the full research cycle from idea generation, over data analysis, to composing and…

Human-Computer Interaction · Computer Science 2025-01-06 Maryna Kapitonova , Tonio Ball

Brain-Computer Interfaces (BCI) help patients with faltering communication abilities due to neurodegenerative diseases produce text or speech output by direct neural processing. However, practical implementation of such a system has proven…

Human-Computer Interaction · Computer Science 2019-07-10 Janaki Sheth , Ariel Tankus , Michelle Tran , Nader Pouratian , Itzhak Fried , William Speier

TalkWithMachines aims to enhance human-robot interaction by contributing to interpretable industrial robotic systems, especially for safety-critical applications. The presented paper investigates recent advancements in Large Language Models…

Robotics · Computer Science 2024-12-23 Ammar N. Abbas , Csaba Beleznai

This research paper discusses the advances made in the past decade in biomedicine and Large Language Models. To understand how the advances have been made hand-in-hand with one another, the paper also discusses the integration of Natural…

Computation and Language · Computer Science 2024-06-26 Michael Ackerman

The emergence of large language models (LLMs) has revolutionized artificial intelligence, offering unprecedented capabilities in reasoning, generalization, and zero-shot learning. These strengths open new frontiers in wireless…

Artificial Intelligence · Computer Science 2026-03-18 Le Liang , Hao Ye , Yucheng Sheng , Ouya Wang , Jiacheng Wang , Shi Jin , Geoffrey Ye Li

Transformer-based language models (LMs) continue to advance state-of-the-art performance on NLP benchmark tasks, including tasks designed to mimic human-inspired "commonsense" competencies. To better understand the degree to which LMs can…

Computation and Language · Computer Science 2021-06-15 Antonio Laverghetta , Animesh Nighojkar , Jamshidbek Mirzakhalov , John Licato

The era of Large Language Models (LLMs) presents a new opportunity for interpretability--agentic interpretability: a multi-turn conversation with an LLM wherein the LLM proactively assists human understanding by developing and leveraging a…

Artificial Intelligence · Computer Science 2025-06-17 Been Kim , John Hewitt , Neel Nanda , Noah Fiedel , Oyvind Tafjord

Recent advancements in large language models (LLMs) have spurred interest in expanding their application beyond text-based tasks. A large number of studies have explored integrating other modalities with LLMs, notably speech modality, which…

Computation and Language · Computer Science 2025-09-10 Zhengdong Yang , Shuichiro Shimizu , Yahan Yu , Chenhui Chu

Large language models (LLMs) have undergone significant expansion and have been increasingly integrated across various domains. Notably, in the realm of robot task planning, LLMs harness their advanced reasoning and language comprehension…

Healthcare systems around the world are grappling with issues like inefficient diagnostics, rising costs, and limited access to specialists. These problems often lead to delays in treatment and poor health outcomes. Most current AI and deep…

Artificial Intelligence · Computer Science 2025-12-22 Maliha Tabassum , M Shamim Kaiser

The rapid advancement of artificial intelligence, particularly with the development of Large Language Models (LLMs) built on the transformer architecture, has redefined the capabilities of natural language processing. These models now…

Computation and Language · Computer Science 2025-02-11 Andrea Matarazzo , Riccardo Torlone

Amyotrophic lateral sclerosis (ALS), a progressive neuromuscular degenerative disease, severely restricts patient communication capacity within a few years of onset, resulting in a significant deterioration of quality of life. The P300…

Human-Computer Interaction · Computer Science 2024-10-22 Nithin Parthasarathy , James Soetedjo , Saarang Panchavati , Nitya Parthasarathy , Corey Arnold , Nader Pouratian , William Speier

Brain computer interface (BCI) enables the brain to directly control an external device by converting neural signals into actionable outputs. However, effective real-time translation of brain activity strongly depends on the quality of…

Human-Computer Interaction · Computer Science 2026-05-21 Houda Hafi , Bouziane Brik , Nuraini Jamil , Abdelkader Nasreddine Belkacem

Recent advances in Generative Artificial Intelligence, particularly Large Language Models (LLMs), have stimulated growing interest in automating or assisting Business Process Modeling tasks using natural language. Several approaches have…

Software Engineering · Computer Science 2026-04-16 João Bettencourt , Sérgio Guerreiro

Transformer-based language models (LMs) continue to achieve state-of-the-art performance on natural language processing (NLP) benchmarks, including tasks designed to mimic human-inspired "commonsense" competencies. To better understand the…

Computation and Language · Computer Science 2022-05-13 Antonio Laverghetta , Animesh Nighojkar , Jamshidbek Mirzakhalov , John Licato

The ChatGPT, a lite and conversational variant of Generative Pretrained Transformer 4 (GPT-4) developed by OpenAI, is one of the milestone Large Language Models (LLMs) with billions of parameters. LLMs have stirred up much interest among…

Computation and Language · Computer Science 2023-08-01 Hanyao Huang , Ou Zheng , Dongdong Wang , Jiayi Yin , Zijin Wang , Shengxuan Ding , Heng Yin , Chuan Xu , Renjie Yang , Qian Zheng , Bing Shi

The introduction of transformer architecture was a turning point in Natural Language Processing (NLP). Models based on the transformer architecture such as Bidirectional Encoder Representations from Transformers (BERT) and Generative…