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Internet of Things (IoT) has gained widespread popularity, revolutionizing industries and daily life. However, it has also emerged as a prime target for attacks. Numerous efforts have been made to improve IoT security, and substantial IoT…

Cryptography and Security · Computer Science 2026-01-12 Ye Dong , Yan Lin Aung , Sudipta Chattopadhyay , Jianying Zhou

Large language models (LLMs) have recently demonstrated state-of-the-art performance across various natural language processing (NLP) tasks, achieving near-human levels in multiple language understanding challenges and aligning closely with…

Signal Processing · Electrical Eng. & Systems 2025-07-08 Zhenyi Wang , Li Zou , Shengyun Wei , Kai Li , Feifan Liao , Haibo Mi , Rongxuan Lai

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

Modern wireless communication systems have become increasingly complex due to the proliferation of wireless devices, increasing performance standards, and growing security threats. Managing these networks is becoming more challenging,…

Networking and Internet Architecture · Computer Science 2024-11-26 Zine el abidine Kherroubi , Monika Prakash , Jean-Pierre Giacalone , Michael Baddeley

Knowledge Tracing (KT) is a research field that aims to estimate a student's knowledge state through learning interactions-a crucial component of Intelligent Tutoring Systems (ITSs). Despite significant advancements, no current KT models…

Computers and Society · Computer Science 2024-12-13 Yongwan Cho , Rabia Emhamed AlMamlook , Tasnim Gharaibeh

Large language models (LLMs) and large multimodal models (LMMs) have achieved unprecedented breakthrough, showcasing remarkable capabilities in natural language understanding, generation, and complex reasoning. This transformative potential…

Machine Learning · Computer Science 2025-10-24 Hyun Jong Yang , Hyunsoo Kim , Hyeonho Noh , Seungnyun Kim , Byonghyo Shim

ChatGPT and other state-of-the-art large language models (LLMs) are rapidly transforming multiple fields, offering powerful tools for a wide range of applications. These models, commonly trained on vast datasets, exhibit human-like text…

Large Language Models (LLMs) have transformed human-computer interaction by enabling natural language-based communication with AI-powered chatbots. These models are designed to be intuitive and user-friendly, allowing users to articulate…

Satellite networks are vital in facilitating communication services for various critical infrastructures. These networks can seamlessly integrate with a diverse array of systems. However, some of these systems are vulnerable due to the…

Cryptography and Security · Computer Science 2024-05-10 Mohammed Hassanin , Marwa Keshk , Sara Salim , Majid Alsubaie , Dharmendra Sharma

Scientific workflow systems are increasingly popular for expressing and executing complex data analysis pipelines over large datasets, as they offer reproducibility, dependability, and scalability of analyses by automatic parallelization on…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-09 Mario Sänger , Ninon De Mecquenem , Katarzyna Ewa Lewińska , Vasilis Bountris , Fabian Lehmann , Ulf Leser , Thomas Kosch

We propose LightLLM, a model that fine tunes pre-trained large language models (LLMs) for light-based sensing tasks. It integrates a sensor data encoder to extract key features, a contextual prompt to provide environmental information, and…

Machine Learning · Computer Science 2024-11-26 Jiawei Hu , Hong Jia , Mahbub Hassan , Lina Yao , Brano Kusy , Wen Hu

The recent success of large language models (LLMs) has shown great potential to develop more powerful conversational recommender systems (CRSs), which rely on natural language conversations to satisfy user needs. In this paper, we embark on…

Computation and Language · Computer Science 2024-06-21 Xiaolei Wang , Xinyu Tang , Wayne Xin Zhao , Jingyuan Wang , Ji-Rong Wen

This paper takes an exploratory approach to examine the use of ChatGPT for pattern mining. It proposes an eight-step collaborative process that combines human insight with AI capabilities to extract patterns from known uses. The paper…

Artificial Intelligence · Computer Science 2024-12-24 Michael Weiss

This paper describes the systems submitted by team6 for ChatEval, the DSTC 11 Track 4 competition. We present three different approaches to predicting turn-level qualities of chatbot responses based on large language models (LLMs). We…

Computation and Language · Computer Science 2023-08-15 Ondřej Plátek , Vojtěch Hudeček , Patricia Schmidtová , Mateusz Lango , Ondřej Dušek

In this paper, we propose a feature pioneering method using Large Language Models (LLMs). In the proposed method, we use Chat-GPT 1 to find new sensor locations and new features. Then we evaluate the machine learning model which uses the…

Human-Computer Interaction · Computer Science 2023-10-10 Haru Kaneko , Sozo Inoue

Given the great success of large language models (LLMs) across various tasks, in this paper, we introduce LLM-ST, a novel and effective speech translation model constructed upon a pre-trained LLM. By integrating the large language model…

Computation and Language · Computer Science 2023-12-22 Zhichao Huang , Rong Ye , Tom Ko , Qianqian Dong , Shanbo Cheng , Mingxuan Wang , Hang Li

Recently, the flourishing large language models(LLM), especially ChatGPT, have shown exceptional performance in language understanding, reasoning, and interaction, attracting users and researchers from multiple fields and domains. Although…

Computer Vision and Pattern Recognition · Computer Science 2024-01-18 Haonan Guo , Xin Su , Chen Wu , Bo Du , Liangpei Zhang , Deren Li

Recent work exploring the capabilities of pre-trained large language models (LLMs) has demonstrated their ability to act as general pattern machines by completing complex token sequences representing a wide array of tasks, including…

Computers and Society · Computer Science 2024-03-25 Seyed Parsa Neshaei , Richard Lee Davis , Adam Hazimeh , Bojan Lazarevski , Pierre Dillenbourg , Tanja Käser

Large language models (LLMs) provide a new way to build chatbots by accepting natural language prompts. Yet, it is unclear how to design prompts to power chatbots to carry on naturalistic conversations while pursuing a given goal, such as…

Human-Computer Interaction · Computer Science 2024-05-08 Jing Wei , Sungdong Kim , Hyunhoon Jung , Young-Ho Kim

With the rapid evolution of Natural Language Processing (NLP), Large Language Models (LLMs) like ChatGPT have emerged as powerful tools capable of transforming various sectors. Their vast knowledge base and dynamic interaction capabilities…

Computers and Society · Computer Science 2024-01-02 Kevin Wang , Jason Ramos , Ramon Lawrence