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Large Language Models (LLMs) demonstrate significant persuasive capabilities in one-on-one interactions, but their influence within social networks, where interconnected users and complex opinion dynamics pose unique challenges, remains…

机器学习 · 计算机科学 2025-06-13 Erica Coppolillo , Federico Cinus , Marco Minici , Francesco Bonchi , Giuseppe Manco

We live in the era of Generative Artificial Intelligence (GenAI). Deepfakes and Large Language Models (LLMs) are two examples of GenAI. Deepfakes, in particular, pose an alarming threat to society as they are capable of spreading…

计算机与社会 · 计算机科学 2024-02-08 Alakananda Mitra , Saraju P. Mohanty , Elias Kougianos

Contemporary conversational AI systems based on large language models (LLMs) can engage users on a wide variety of topics, including philosophy, spirituality, and religion. Suitably prompted, LLMs can be coaxed into discussing such…

计算机与社会 · 计算机科学 2024-11-21 Murray Shanahan , Beth Singler

Recently, the powerful large language models (LLMs) have been instrumental in propelling the progress of recommender systems (RS). However, while these systems have flourished, their susceptibility to security threats has been largely…

计算与语言 · 计算机科学 2024-06-06 Jinghao Zhang , Yuting Liu , Qiang Liu , Shu Wu , Guibing Guo , Liang Wang

Large language models (LLMs) represent significant breakthroughs in artificial intelligence and hold potential for applications within smart grids. However, as demonstrated in previous literature, AI technologies are susceptible to various…

密码学与安全 · 计算机科学 2025-04-22 Jiangnan Li , Yingyuan Yang , Jinyuan Sun

Reliable simulation of human behavior is essential for explaining, predicting, and intervening in our society. Recent advances in large language models (LLMs) have shown promise in emulating human behaviors, interactions, and…

计算与语言 · 计算机科学 2025-10-27 Ning Bian , Xianpei Han , Hongyu Lin , Baolei Wu , Jun Wang

As large language models (LLMs) are increasingly deployed in high-stakes settings, the risk of generating harmful or toxic content remains a central challenge. Post-hoc alignment methods are brittle: once unsafe patterns are learned during…

The rapid advancements in large language models (LLMs) have opened up new opportunities for transforming patient engagement in healthcare through conversational AI. This paper presents an overview of the current landscape of LLMs in…

人工智能 · 计算机科学 2024-11-27 Bo Wen , Raquel Norel , Julia Liu , Thaddeus Stappenbeck , Farhana Zulkernine , Huamin Chen

This paper comprehensively explores the ethical challenges arising from security threats to Large Language Models (LLMs). These intricate digital repositories are increasingly integrated into our daily lives, making them prime targets for…

密码学与安全 · 计算机科学 2024-07-11 Ashutosh Kumar , Shiv Vignesh Murthy , Sagarika Singh , Swathy Ragupathy

With the recent advent of Large Language Models (LLMs), such as ChatGPT from OpenAI, BARD from Google, Llama2 from Meta, and Claude from Anthropic AI, gain widespread use, ensuring their security and robustness is critical. The widespread…

人机交互 · 计算机科学 2023-11-28 Sonali Singh , Faranak Abri , Akbar Siami Namin

Large Language Models (LLMs) are increasingly deployed as agentic systems that plan, memorize, and act in open-world environments. This shift brings new security problems: failures are no longer only unsafe text generation, but can become…

密码学与安全 · 计算机科学 2026-03-03 Zhihang Deng , Jiaping Gui , Weinan Zhang

Large language models (LLMs) are powerful artificial intelligence (AI) tools transforming how research is conducted. However, their use in research has been met with skepticism, due to concerns about hallucinations, biases and potential…

人工智能 · 计算机科学 2025-07-08 Ruian Ke , Ruy M. Ribeiro

Despite the importance of developing generative AI models that can effectively resist scams, current literature lacks a structured framework for evaluating their vulnerability to such threats. In this work, we address this gap by…

密码学与安全 · 计算机科学 2025-07-18 Udari Madhushani Sehwag , Kelly Patel , Francesca Mosca , Vineeth Ravi , Jessica Staddon

Large Language Models (LLMs) are increasingly regarded as having the potential to generate persuasive content at scale. While previous studies have focused on the risks associated with LLM-generated misinformation, the role of LLMs in…

计算机与社会 · 计算机科学 2026-04-06 John Caffier , Olga Stavrova , Bennett Kleinberg

The advancement of Large Language Models (LLMs) has significantly impacted various domains, including Web search, healthcare, and software development. However, as these models scale, they become more vulnerable to cybersecurity risks,…

密码学与安全 · 计算机科学 2024-10-01 Qin Liu , Wenjie Mo , Terry Tong , Jiashu Xu , Fei Wang , Chaowei Xiao , Muhao Chen

The task of cultivating healthy communication in online communities becomes increasingly urgent, as gaming and social media experiences become progressively more immersive and life-like. We approach the challenge of moderating online…

计算机与社会 · 计算机科学 2023-06-09 Henrik Axelsen , Johannes Rude Jensen , Sebastian Axelsen , Valdemar Licht , Omri Ross

Large language models (LLMs) have emerged as powerful and general solutions to many natural language tasks. However, many of the most important applications of language generation are interactive, where an agent has to talk to a person to…

机器学习 · 计算机科学 2023-11-10 Joey Hong , Sergey Levine , Anca Dragan

Large Language Models (LLMs) have demonstrated remarkable capabilities in understanding and generating human-like text, yet they largely operate as reactive agents, responding only when directly prompted. This passivity creates an…

计算与语言 · 计算机科学 2026-05-18 Deep Anil Patel , Iain Melvin , Christopher Malon , Martin Renqiang Min

Large Language Models (LLMs) have revolutionized Artificial Intelligence (AI) services due to their exceptional proficiency in understanding and generating human-like text. LLM chatbots, in particular, have seen widespread adoption,…

密码学与安全 · 计算机科学 2024-02-14 Gelei Deng , Yi Liu , Yuekang Li , Kailong Wang , Ying Zhang , Zefeng Li , Haoyu Wang , Tianwei Zhang , Yang Liu

Student simulation presents a transformative approach to enhance learning outcomes, advance educational research, and ultimately shape the future of effective pedagogy. We explore the feasibility of using large language models (LLMs), a…

人工智能 · 计算机科学 2023-10-31 Songlin Xu , Xinyu Zhang