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Large Language Models (LLMs) have shown significant promise in real-world decision-making tasks for embodied artificial intelligence, especially when fine-tuned to leverage their inherent common sense and reasoning abilities while being…

密码学与安全 · 计算机科学 2025-05-01 Ruochen Jiao , Shaoyuan Xie , Justin Yue , Takami Sato , Lixu Wang , Yixuan Wang , Qi Alfred Chen , Qi Zhu

Artificial Intelligence (AI) advancements have enabled the development of Large Language Models (LLMs) that can perform a variety of tasks with remarkable semantic understanding and accuracy. ChatGPT is one such LLM that has gained…

软件工程 · 计算机科学 2024-08-02 M. Mehdi Kholoosi , M. Ali Babar , Roland Croft

The availability of Large Language Models (LLMs) has led to a new generation of powerful chatbots that can be developed at relatively low cost. As companies deploy these tools, security challenges need to be addressed to prevent financial…

密码学与安全 · 计算机科学 2026-01-12 Ahmad Alobaid , Martí Jordà Roca , Carlos Castillo , Joan Vendrell

Large language models (LLMs) such as ChatGPT and GPT-4 have recently demonstrated their remarkable abilities of communicating with human users. In this technical report, we take an initiative to investigate their capacities of playing text…

计算与语言 · 计算机科学 2025-04-01 Chen Feng Tsai , Xiaochen Zhou , Sierra S. Liu , Jing Li , Mo Yu , Hongyuan Mei

Modeling subrational agents, such as humans or economic households, is inherently challenging due to the difficulty in calibrating reinforcement learning models or collecting data that involves human subjects. Existing work highlights the…

人工智能 · 计算机科学 2024-02-15 Andrea Coletta , Kshama Dwarakanath , Penghang Liu , Svitlana Vyetrenko , Tucker Balch

Recent advancements in large language models (LLMs) promise to expand mental health interventions by emulating therapeutic techniques, potentially easing barriers to care. Yet there is a lack of real-world empirical evidence evaluating the…

人机交互 · 计算机科学 2025-01-28 Yinzhou Wang , Yimeng Wang , Ye Xiao , Liabette Escamilla , Bianca Augustine , Kelly Crace , Gang Zhou , Yixuan Zhang

Phone scams pose a significant threat to individuals and communities, causing substantial financial losses and emotional distress. Despite ongoing efforts to combat these scams, scammers continue to adapt and refine their tactics, making it…

密码学与安全 · 计算机科学 2024-10-18 Zitong Shen , Kangzhong Wang , Youqian Zhang , Grace Ngai , Eugene Y. Fu

The widespread use of Large Language Model (LLM)-based conversational agents (CAs), especially in high-stakes domains, raises many privacy concerns. Building ethical LLM-based CAs that respect user privacy requires an in-depth understanding…

人机交互 · 计算机科学 2024-04-03 Zhiping Zhang , Michelle Jia , Hao-Ping Lee , Bingsheng Yao , Sauvik Das , Ada Lerner , Dakuo Wang , Tianshi Li

Modern AI technology like Large language models (LLMs) has the potential to pollute the public information sphere with made-up content, which poses a significant threat to the cohesion of societies at large. A wide range of research has…

计算与语言 · 计算机科学 2024-07-19 Steffen Herbold , Alexander Trautsch , Zlata Kikteva , Annette Hautli-Janisz

The emergence of Large Language Models (LLMs) has great potential to reshape the landscape of many social media platforms. While this can bring promising opportunities, it also raises many threats, such as biases and privacy concerns, and…

人机交互 · 计算机科学 2024-02-14 Kristina Radivojevic , Nicholas Clark , Paul Brenner

The honesty of large language models (LLMs) is a critical alignment challenge, especially as advanced systems with chain-of-thought (CoT) reasoning may strategically deceive humans. Unlike traditional honesty issues on LLMs, which could be…

人工智能 · 计算机科学 2025-06-06 Kai Wang , Yihao Zhang , Meng Sun

Large language models (LLMs) such as those embedded in 'chatbots' are accelerating and democratizing research by providing comprehensible information and expertise from many different fields. However, these models may also confer easy…

计算机与社会 · 计算机科学 2023-06-07 Emily H. Soice , Rafael Rocha , Kimberlee Cordova , Michael Specter , Kevin M. Esvelt

The proliferation of large language models (LLMs) and autonomous AI agents has raised concerns about their potential for automated persuasion and social influence. While existing research has explored isolated instances of LLM-based…

We investigated the capability of the GPT-3.5 large language model (LLM) to operationalize natural language descriptions of cooperative, competitive, altruistic, and self-interested behavior in two social dilemmas: the repeated Prisoners…

计算机科学与博弈论 · 计算机科学 2024-07-02 Steve Phelps , Yvan I. Russell

Large Language Models (LLMs) are increasingly used in software security, but their trustworthiness in generating accurate vulnerability advisories remains uncertain. This study investigates the ability of ChatGPT to (1) generate plausible…

The rise of large language models (LLMs) has revolutionized user interactions with knowledge-based systems, enabling chatbots to synthesize vast amounts of information and assist with complex, exploratory tasks. However, LLM-based chatbots…

人机交互 · 计算机科学 2024-11-01 Yingzhe Peng , Xiaoting Qin , Zhiyang Zhang , Jue Zhang , Qingwei Lin , Xu Yang , Dongmei Zhang , Saravan Rajmohan , Qi Zhang

Large Language Models (LLMs) such as ChatGPT and Llama have become prevalent in real-world applications, exhibiting impressive text generation performance. LLMs are fundamentally developed from a scenario where the input data remains static…

人工智能 · 计算机科学 2024-09-09 Cheng'an Wei , Yue Zhao , Yujia Gong , Kai Chen , Lu Xiang , Shenchen Zhu

Large Language Models (LLMs) have emerged as formidable instruments capable of comprehending and producing human-like text. This paper explores the potential of LLMs, to shape user perspectives and subsequently influence their decisions on…

人工智能 · 计算机科学 2024-09-04 Ganesh Prasath Ramani , Shirish Karande , Santhosh V , Yash Bhatia

The proliferation of large language models (LLMs) has sparked widespread and general interest due to their strong language generation capabilities, offering great potential for both industry and research. While previous research delved into…

人工智能 · 计算机科学 2024-07-09 Lukas Struppek , Minh Hieu Le , Dominik Hintersdorf , Kristian Kersting

Recent advancements in Large Language Models (LLMs) have not only showcased impressive creative capabilities but also revealed emerging agentic behaviors that exploit linguistic ambiguity in adversarial settings. In this study, we…

计算与语言 · 计算机科学 2025-04-04 Seunghyun Yoo