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The remarkable capabilities of Large Language Models (LLMs) make them increasingly compelling for adoption in real-world healthcare applications. However, the risks associated with using LLMs in medical applications have not been…

The rapid integration of Generative AI (GenAI) and Large Language Models (LLMs) in sectors such as education and healthcare have marked a significant advancement in technology. However, this growth has also led to a largely unexplored…

密码学与安全 · 计算机科学 2024-03-20 Tri Nguyen , Huong Nguyen , Ahmad Ijaz , Saeid Sheikhi , Athanasios V. Vasilakos , Panos Kostakos

Construction remains one of the most hazardous sectors. Recent advancements in AI, particularly Large Language Models (LLMs), offer promising opportunities for enhancing workplace safety. However, responsible integration of LLMs requires…

人工智能 · 计算机科学 2024-11-14 Farouq Sammour , Jia Xu , Xi Wang , Mo Hu , Zhenyu Zhang

Large Language Models (LLMs), with gradually improving reading comprehension and reasoning capabilities, are being applied to a range of complex language tasks, including the automatic generation of language data for various purposes.…

Extended interaction with large language models (LLMs) has been linked to the reinforcement of delusional beliefs, a phenomenon attracting growing clinical and public concern. Yet most empirical work evaluates model safety in brief…

人机交互 · 计算机科学 2026-04-24 Luke Nicholls , Robert Hutto , Zephrah Soto , Hamilton Morrin , Thomas Pollak , Raj Korpan , Cheryl Carmichael

Large Language Models (LLMs) are changing the way people interact with technology. Tools like ChatGPT and Claude AI are now common in business, research, and everyday life. But with that growth comes new risks, especially prompt-based…

密码学与安全 · 计算机科学 2025-05-27 Austin Howard

Gestures perform a variety of communicative functions that powerfully influence human face-to-face interaction. How this communicative function is achieved varies greatly between individuals and depends on the role of the speaker and the…

人机交互 · 计算机科学 2023-10-24 Laura B. Hensel , Nutchanon Yongsatianchot , Parisa Torshizi , Elena Minucci , Stacy Marsella

Previous learning-based vulnerability detection methods relied on either medium-sized pre-trained models or smaller neural networks from scratch. Recent advancements in Large Pre-Trained Language Models (LLMs) have showcased remarkable…

软件工程 · 计算机科学 2024-01-30 Xin Zhou , Ting Zhang , David Lo

The dissemination of false information on online platforms presents a serious societal challenge. While manual fact-checking remains crucial, Large Language Models (LLMs) offer promising opportunities to support fact-checkers with their…

计算与语言 · 计算机科学 2024-10-31 Ivan Vykopal , Matúš Pikuliak , Simon Ostermann , Marián Šimko

With the ongoing rapid adoption of Artificial Intelligence (AI)-based systems in high-stakes domains, ensuring the trustworthiness, safety, and observability of these systems has become crucial. It is essential to evaluate and monitor AI…

计算与语言 · 计算机科学 2024-07-19 Krishnaram Kenthapadi , Mehrnoosh Sameki , Ankur Taly

Large language models (LLM) are perceived to offer promising potentials for automating security tasks, such as those found in security operation centers (SOCs). As a first step towards evaluating this perceived potential, we investigate the…

In recent years, JavaScript has become the most widely used programming language, especially in web development. However, writing secure JavaScript code is not trivial, and programmers often make mistakes that lead to security…

密码学与安全 · 计算机科学 2024-03-21 Tan Khang Le , Saba Alimadadi , Steven Y. Ko

Large Language Models (LLMs) have revolutionized various fields with their exceptional capabilities in understanding, processing, and generating human-like text. This paper investigates the potential of LLMs in advancing Network Intrusion…

密码学与安全 · 计算机科学 2025-07-08 Shuo Yang , Xinran Zheng , Xinchen Zhang , Jinfeng Xu , Jinze Li , Donglin Xie , Weicai Long , Edith C. H. Ngai

Ensuring and improving the safety of autonomous driving systems (ADS) is crucial for the deployment of highly automated vehicles, especially in safety-critical events. To address the rarity issue, adversarial scenario generation methods are…

机器学习 · 计算机科学 2025-06-10 Yuewen Mei , Tong Nie , Jian Sun , Ye Tian

Large language models (LLMs) with memory are computationally universal. However, mainstream LLMs are not taking full advantage of memory, and the designs are heavily influenced by biological brains. Due to their approximate nature and…

人工智能 · 计算机科学 2023-06-08 Chenxu Hu , Jie Fu , Chenzhuang Du , Simian Luo , Junbo Zhao , Hang Zhao

Multimodal Large Language Models (MLLMs) have enabled transformative advancements across diverse applications but remain susceptible to safety threats, especially jailbreak attacks that induce harmful outputs. To systematically evaluate and…

Large vision-language models (VLMs) such as GPT-4 have achieved unprecedented performance in response generation, especially with visual inputs, enabling more creative and adaptable interaction than large language models such as ChatGPT.…

计算机视觉与模式识别 · 计算机科学 2023-10-31 Yunqing Zhao , Tianyu Pang , Chao Du , Xiao Yang , Chongxuan Li , Ngai-Man Cheung , Min Lin

The rapid development and deployment of large language models (LLMs) have introduced a new frontier in artificial intelligence, marked by unprecedented capabilities in natural language understanding and generation. However, the increasing…

Empathetic dialogue is an indispensable part of building harmonious social relationships and contributes to the development of a helpful AI. Previous approaches are mainly based on fine small-scale language models. With the advent of…

计算与语言 · 计算机科学 2024-07-29 Yushan Qian , Wei-Nan Zhang , Ting Liu

AI and generative AI tools, including chatbots like ChatGPT that rely on large language models (LLMs), have burst onto the scene this year, creating incredible opportunities to increase work productivity and improve our lives. Statisticians…

计算与语言 · 计算机科学 2024-03-27 Mark Glickman , Yi Zhang