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The rise of big data has amplified the need for efficient, user-friendly automated machine learning (AutoML) tools. However, the intricacy of understanding domain-specific data and defining prediction tasks necessitates human intervention…

计算与语言 · 计算机科学 2023-05-24 Md Mahadi Hassan , Alex Knipper , Shubhra Kanti Karmaker Santu

The generative Artificial Intelligence (AI) tools based on Large Language Models (LLMs) use billions of parameters to extensively analyse large datasets and extract critical private information such as, context, specific details,…

Recent advances in large language models (LLMs) have led to the development of powerful AI chatbots capable of engaging in natural and human-like conversations. However, these chatbots can be potentially harmful, exhibiting manipulative,…

人工智能 · 计算机科学 2023-04-04 Baihan Lin , Djallel Bouneffouf , Guillermo Cecchi , Kush R. Varshney

As a key form in online social platforms, group chat is a popular space for interest exchange or problem-solving, but its effectiveness is often hindered by inactivity and management challenges. While recent large language models (LLMs)…

人工智能 · 计算机科学 2026-03-06 Zijie Meng , Zheyong Xie , Zheyu Ye , Chonggang Lu , Zuozhu Liu , Zihan Niu , Yao Hu , Shaosheng Cao

Recent advancements in large language models (LLMs) have provided a new avenue for chatbot development. Most existing research, however, has primarily centered on single-user chatbots that determine "What" to answer. This paper highlights…

计算与语言 · 计算机科学 2024-10-08 Manqing Mao , Paishun Ting , Yijian Xiang , Mingyang Xu , Julia Chen , Jianzhe Lin

Remarkable progress has been made on automated problem solving through societies of agents based on large language models (LLMs). Existing LLM-based multi-agent systems can already solve simple dialogue tasks. Solutions to more complex…

A significant application of Large Language Models (LLMs), like ChatGPT, is their deployment as chat agents, which respond to human inquiries across a variety of domains. While current LLMs proficiently answer general questions, they often…

计算与语言 · 计算机科学 2024-04-16 Lang Cao

Personalized user understanding from large-scale digital traces remains a fundamental challenge. Traditional user profiling methods rely on discriminative models and manual feature engineering to predict discrete attributes, often producing…

Popular large language model (LLM) chatbots such as ChatGPT and Claude require users to create an account with an email or a phone number before allowing full access to their services. This practice ties users' personally identifiable…

密码学与安全 · 计算机科学 2025-06-12 Dzung Pham , Jade Sheffey , Chau Minh Pham , Amir Houmansadr

Large language model (LLM) applications, such as ChatGPT, are a powerful tool for online information-seeking (IS) and problem-solving tasks. However, users still face challenges initializing and refining prompts, and their cognitive…

人机交互 · 计算机科学 2024-02-12 Ben Wang , Jiqun Liu , Jamshed Karimnazarov , Nicolas Thompson

Communication encryption is crucial in computer technology, but existing algorithms struggle with balancing cost and security. We propose EncGPT, a multi-agent framework using large language models (LLM). It includes rule, encryption, and…

密码学与安全 · 计算机科学 2025-04-01 Donghe Li , Zuchen Li , Ye Yang , Li Sun , Dou An , Qingyu Yang

The rise of end-user applications powered by large language models (LLMs), including both conversational interfaces and add-ons to existing graphical user interfaces (GUIs), introduces new privacy challenges. However, many users remain…

人机交互 · 计算机科学 2025-01-27 Chaoran Chen , Daodao Zhou , Yanfang Ye , Toby Jia-jun Li , Yaxing Yao

Interactive user interfaces have increasingly explored AI's role in enhancing communication efficiency and productivity in collaborative tasks. The emergence of Large Language Models (LLMs) such as ChatGPT has revolutionized conversational…

人机交互 · 计算机科学 2024-03-06 Ashish Bastola , Hao Wang , Judsen Hembree , Pooja Yadav , Zihao Gong , Emma Dixon , Abolfazl Razi , Nathan McNeese

As AI agents increasingly operate in complex environments, ensuring reliable, context-aware privacy is critical for regulatory compliance. Traditional access controls are insufficient because privacy risks often arise after access is…

Campus well-being underpins academic success, yet many universities lack effective methods for monitoring satisfaction and detecting mental health risks. This dissertation addresses these gaps through prevention (improving feedback…

人工智能 · 计算机科学 2026-05-12 Jinwen Tang

Achieving consensus in group decision-making often involves overcoming significant challenges, particularly in reconciling diverse perspectives and mitigating biases that hinder agreement. Traditional methods relying on human facilitators…

人机交互 · 计算机科学 2025-03-21 Loukas Triantafyllopoulos , Dimitris Kalles

While large language model-based agents demonstrate great potential in collaborative tasks, their interactivity also introduces security vulnerabilities. In this paper, we propose and model group collusive attacks, a highly destructive…

人工智能 · 计算机科学 2026-03-17 Yiling Tao , Xinran Zheng , Shuo Yang , Meiling Tao , Xingjun Wang

The rapid advancement of Large Language Models (LLMs) has revolutionized various sectors by automating routine tasks, marking a step toward the realization of Artificial General Intelligence (AGI). However, they still struggle to…

机器学习 · 计算机科学 2024-02-21 Zihao Tang , Zheqi Lv , Shengyu Zhang , Fei Wu , Kun Kuang

Large Language Models (LLMs), such as ChatGPT, exhibit advanced capabilities in generating text, images, and videos. However, their effective use remains constrained by challenges in prompt formulation, personalization, and opaque…

人机交互 · 计算机科学 2025-03-04 Si Thu , A. Baki Kocaballi

Privacy policies serve as the primary conduit through which online service providers inform users about their data collection and usage procedures. However, in a bid to be comprehensive and mitigate legal risks, these policy documents are…

计算与语言 · 计算机科学 2023-09-20 Chenhao Tang , Zhengliang Liu , Chong Ma , Zihao Wu , Yiwei Li , Wei Liu , Dajiang Zhu , Quanzheng Li , Xiang Li , Tianming Liu , Lei Fan
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