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Toward enabling next-generation robots capable of socially intelligent interaction with humans, we present a $\mathbf{computational\; model}$ of interactions in a social environment of multiple agents and multiple groups. The Multiagent…

Machine Learning · Computer Science 2021-03-05 Navyata Sanghvi , Ryo Yonetani , Kris Kitani

Generative artificial intelligence (AI) and large language models (LLMs) have gained rapid popularity through publicly available tools such as ChatGPT. The adoption of LLMs for personal and professional use is fueled by the natural…

Computation and Language · Computer Science 2024-07-25 Sinan Abdulhak , Wayne Hubbard , Karthik Gopalakrishnan , Max Z. Li

As Socially Interactive Agents (SIAs) become increasingly integrated into daily life, the ability to calibrate user trust to an agent's actual capabilities would help ensure appropriate usage of these agents. In this paper, we explore the…

Computation and Language · Computer Science 2026-05-20 Lucie Galland , Chloé Clavel , Magalie Ochs

The emergence of agentic recommender systems powered by Large Language Models (LLMs) represents a paradigm shift in personalized recommendations, leveraging LLMs' advanced reasoning and role-playing capabilities to enable autonomous,…

Information Retrieval · Computer Science 2025-05-29 Yu Shang , Peijie Liu , Yuwei Yan , Zijing Wu , Leheng Sheng , Yuanqing Yu , Chumeng Jiang , An Zhang , Fengli Xu , Yu Wang , Min Zhang , Yong Li

Applications of large language models (LLMs) like ChatGPT have potential to enhance clinical decision support through conversational interfaces. However, challenges of human-algorithmic interaction and clinician trust are poorly understood.…

The proliferation of Large Language Models like ChatGPT has significantly advanced language understanding and generation, impacting a broad spectrum of applications. However, these models predominantly excel in text-based tasks, overlooking…

Computation and Language · Computer Science 2023-11-23 Xiao Liu , Jianfeng Lin , Jiawei Zhang

Large Language Model (LLM) Agents are an emerging computing paradigm that blends generative machine learning with tools such as code interpreters, web browsing, email, and more generally, external resources. These agent-based systems…

Cryptography and Security · Computer Science 2024-10-23 Xiaohan Fu , Shuheng Li , Zihan Wang , Yihao Liu , Rajesh K. Gupta , Taylor Berg-Kirkpatrick , Earlence Fernandes

The 3rd Generation Partnership Project (3GPP) documents is key standards in global telecommunications, while posing significant challenges for engineers and researchers in the telecommunications field due to the large volume and complexity…

Computation and Language · Computer Science 2025-01-27 Long Huang , Ming Zhao , Limin Xiao , Xiujun Zhang , Jungang Hu

Optimizing communication topology in LLM-based multi-agent system is critical for enabling collective intelligence. Existing methods mainly rely on spatio-temporal interaction paradigms, where the sequential execution of multi-round…

Multiagent Systems · Computer Science 2026-04-17 Rui Sun , Jie Ding , Chenghua Gong , Tianjun Gu , Yihang Jiang , Juyuan Zhang , Liming Pan , Linyuan Lü

ChatGPT is a large language model (LLM) created by OpenAI that has been carefully trained on a large amount of data. It has revolutionized the field of natural language processing (NLP) and has pushed the boundaries of LLM capabilities.…

Computation and Language · Computer Science 2023-07-18 Salman Mohamadi , Ghulam Mujtaba , Ngan Le , Gianfranco Doretto , Donald A. Adjeroh

Incident response plays a pivotal role in mitigating the impact of cyber attacks. In recent years, the intensity and complexity of global cyber threats have grown significantly, making it increasingly challenging for traditional threat…

Cryptography and Security · Computer Science 2025-10-31 Xihuan Lin , Jie Zhang , Gelei Deng , Tianzhe Liu , Tianwei Zhang , Qing Guo , Riqing Chen

Large Language Models (LLMs) have demonstrated remarkable performance across various information-seeking and reasoning tasks. These computational systems drive state-of-the-art dialogue systems, such as ChatGPT and Bard. They also carry…

Computation and Language · Computer Science 2023-10-13 Siyuan Brandon Loh , Aravind Sesagiri Raamkumar

Large language models (LLMs) have shown that generative pretraining can distill vast world knowledge into compact token representations. While LLMs encapsulate extensive world knowledge, they remain limited in modeling the behavioral…

Machine Learning · Computer Science 2026-03-31 Guilin Li , Yun Zhang , Xiuyuan Chen , Chengqi Li , Bo Wang , Linghe Kong , Wenjia Wang , Weiran Huang , Matthias Hwai Yong Tan

Agent-Based Modelling (ABM) has emerged as an essential tool for simulating social networks, encompassing diverse phenomena such as information dissemination, influence dynamics, and community formation. However, manually configuring varied…

Generative artificial intelligence (GenAI) offers promising potential for advancing human-AI collaboration in qualitative research. However, existing works focused on conventional machine-learning and pattern-based AI systems, and little is…

The development of large language models (LLMs) such as ChatGPT has brought a lot of attention recently. However, their evaluation in the benchmark academic datasets remains under-explored due to the difficulty of evaluating the generative…

Computation and Language · Computer Science 2023-07-07 Md Tahmid Rahman Laskar , M Saiful Bari , Mizanur Rahman , Md Amran Hossen Bhuiyan , Shafiq Joty , Jimmy Xiangji Huang

Since the introduction of the Model Context Protocol (MCP), the number of available tools for Large Language Models (LLMs) has increased significantly. These task-specific tool sets offer an alternative to general-purpose tools such as web…

Computation and Language · Computer Science 2025-12-12 Reza Esfandiarpoor , Vishwas Suryanarayanan , Stephen H. Bach , Vishal Chowdhary , Anthony Aue

Large language models (LLMs) are increasingly deployed in enterprise settings where they interact with multiple users and are trained or fine-tuned on sensitive internal data. While fine-tuning enhances performance by internalizing domain…

Young people's mental well-being is a global concern, with peer support playing a key role in daily emotional regulation. Conversational agents are increasingly viewed as promising tools for delivering accessible, personalised peer support,…

Human-Computer Interaction · Computer Science 2025-12-01 Ruoyu Wen , Xiaoli Wu , Kunal Gupta , Simon Hoermann , Mark Billinghurst , Alaeddin Nassani , Dwain Allan , Thammathip Piumsomboon

The exponential growth of social media has profoundly transformed how information is created, disseminated, and absorbed, exceeding any precedent in the digital age. Regrettably, this explosion has also spawned a significant increase in the…

Computation and Language · Computer Science 2025-03-03 Hongzhan Lin , Ziyang Luo , Bo Wang , Ruichao Yang , Jing Ma