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Deep neural networks (DNNs) have made significant strides in tackling challenging tasks in wireless systems, especially when an accurate wireless model is not available. However, when available data is limited, traditional DNNs often yield…

Signal Processing · Electrical Eng. & Systems 2024-09-10 Momin Abbas , Koushik Kar , Tianyi Chen

With approximately 7,000 languages spoken worldwide, current large language models (LLMs) support only a small subset. Prior research indicates LLMs can learn new languages for certain tasks without supervised data. We extend this…

Computation and Language · Computer Science 2026-01-29 Zhaolin Li , Jan Niehues

Large Language Models (LLMs) have recently showcased their remarkable capacities, not only in natural language processing tasks but also across diverse domains such as clinical medicine, legal consultation, and education. LLMs become more…

Computation and Language · Computer Science 2024-01-23 Jen-tse Huang , Wenxuan Wang , Eric John Li , Man Ho Lam , Shujie Ren , Youliang Yuan , Wenxiang Jiao , Zhaopeng Tu , Michael R. Lyu

Large Language Models (LLMs) like ChatGPT offer potential support for autistic people, but this potential requires understanding the implicit perspectives these models might carry, including their biases and assumptions about autism. Moving…

Human-Computer Interaction · Computer Science 2026-01-23 Sohyeon Park , Jesus Armando Beltran , Aehong Min , Anamara Ritt-Olson , Gillian R. Hayes

Large Language Models (LLMs) offer numerous applications, the full extent of which is not yet understood. This paper investigates if LLMs can be applied for editing structured and semi-structured documents with minimal effort. Using a…

Machine Learning · Computer Science 2024-09-16 Irene Weber

There is a significant gap between patient needs and available mental health support today. In this paper, we aim to thoroughly examine the potential of using Large Language Models (LLMs) to assist professional psychotherapy. To this end,…

Computation and Language · Computer Science 2025-01-28 Mian Zhang , Xianjun Yang , Xinlu Zhang , Travis Labrum , Jamie C. Chiu , Shaun M. Eack , Fei Fang , William Yang Wang , Zhiyu Zoey Chen

As Large-Scale Language Models (LLMs) continue to evolve, they demonstrate significant enhancements in performance and an expansion of functionalities, impacting various domains, including education. In this study, we conducted interviews…

Human-Computer Interaction · Computer Science 2024-07-18 He Zhang , Jingyi Xie , Chuhao Wu , Jie Cai , ChanMin Kim , John M. Carroll

Recent efforts have evaluated large language models (LLMs) in areas such as commonsense reasoning, mathematical reasoning, and code generation. However, to the best of our knowledge, no work has specifically investigated the performance of…

Computation and Language · Computer Science 2024-05-17 Xuanfan Ni , Piji Li

In this work, we explore how multimodal large language models can support real-time context- and value-aware decision-making. To do so, we combine the GPT-4o language model with a TurtleBot 4 platform simulating a smart vacuum cleaning…

Robotics · Computer Science 2026-02-03 Giulio Antonio Abbo , Senne Lenaerts , Tony Belpaeme

Large Language Models (LLMs) such as GPT developed by OpenAI, have already shown astonishing results, introducing quick changes in our society. This has been intensified by the release of ChatGPT which allows anyone to interact in a simple…

Computer Vision and Pattern Recognition · Computer Science 2024-02-28 Ivan DeAndres-Tame , Ruben Tolosana , Ruben Vera-Rodriguez , Aythami Morales , Julian Fierrez , Javier Ortega-Garcia

This study utilizes the advanced capabilities of the GPT-4 multimodal Large Language Model (LLM) to explore its potential in iris recognition - a field less common and more specialized than face recognition. By focusing on this niche yet…

Computer Vision and Pattern Recognition · Computer Science 2024-08-12 Parisa Farmanifard , Arun Ross

In-car conversational systems bring the promise to improve the in-vehicle user experience. Modern conversational systems are based on Large Language Models (LLMs), which makes them prone to errors such as hallucinations, i.e., inaccurate,…

Computation and Language · Computer Science 2025-04-03 Rafael Giebisch , Ken E. Friedl , Lev Sorokin , Andrea Stocco

Recently, Multimodal Large Language Model (MLLM) represented by GPT-4V has been a new rising research hotspot, which uses powerful Large Language Models (LLMs) as a brain to perform multimodal tasks. The surprising emergent capabilities of…

Computer Vision and Pattern Recognition · Computer Science 2024-12-02 Shukang Yin , Chaoyou Fu , Sirui Zhao , Ke Li , Xing Sun , Tong Xu , Enhong Chen

The 'Impression' section of a radiology report is a critical basis for communication between radiologists and other physicians, and it is typically written by radiologists based on the 'Findings' section. However, writing numerous…

Medical image classification requires labeled, task-specific datasets which are used to train deep learning networks de novo, or to fine-tune foundation models. However, this process is computationally and technically demanding. In language…

Large language models (LLMs) such as ChatGPT have recently demonstrated significant potential in mathematical abilities, providing valuable reasoning paradigm consistent with human natural language. However, LLMs currently have difficulty…

The burgeoning progress in the field of Large Language Models (LLMs) heralds significant benefits due to their unparalleled capacities. However, it is critical to acknowledge the potential misuse of these models, which could give rise to a…

Computation and Language · Computer Science 2023-08-07 Haolan Zhan , Xuanli He , Qiongkai Xu , Yuxiang Wu , Pontus Stenetorp

Multi-modal large language models are regarded as a crucial step towards Artificial General Intelligence (AGI) and have garnered significant interest with the emergence of ChatGPT. However, current speech-language models typically adopt the…

Computation and Language · Computer Science 2023-05-22 Dong Zhang , Shimin Li , Xin Zhang , Jun Zhan , Pengyu Wang , Yaqian Zhou , Xipeng Qiu

This paper investigates the utilization of Large Language Models (LLMs) for solving complex linguistic puzzles, a domain requiring advanced reasoning and adept translation capabilities akin to human cognitive processes. We explore specific…

Computation and Language · Computer Science 2025-02-04 Zheng-Lin Lin , Yu-Fei Shih , Shu-Kai Hsieh

People have long hoped for a conversational system that can assist in real-life situations, and recent progress on large language models (LLMs) is bringing this idea closer to reality. While LLMs are often impressive in performance, their…

Computation and Language · Computer Science 2025-02-06 Linkai Peng , Baorian Nuchged , Yingming Gao
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