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In the age of large language models (LLMs) and the widespread adoption of AI-driven content creation, the landscape of information dissemination has witnessed a paradigm shift. With the proliferation of both human-written and…

Computation and Language · Computer Science 2024-04-16 Jinyan Su , Claire Cardie , Preslav Nakov

This paper studies how AI-assisted programming and large language models (LLM) improve software developers' ability via AI tools (LLM agents) like Github Copilot and Amazon CodeWhisperer, while integrating human feedback to enhance…

Artificial Intelligence · Computer Science 2025-03-20 Man Fai Wong , Chee Wei Tan

In the digital era, the rapid propagation of fake news and rumors via social networks brings notable societal challenges and impacts public opinion regulation. Traditional fake news modeling typically forecasts the general popularity trends…

Social and Information Networks · Computer Science 2024-12-24 Yuhan Liu , Xiuying Chen , Xiaoqing Zhang , Xing Gao , Ji Zhang , Rui Yan

Large Language Models (LLMs) possess an extraordinary capability to produce text that is not only coherent and contextually relevant but also strikingly similar to human writing. They adapt to various styles and genres, producing content…

Computation and Language · Computer Science 2025-07-08 Chinnappa Guggilla , Budhaditya Roy , Trupti Ramdas Chavan , Abdul Rahman , Edward Bowen

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…

Peer review is a multi-stage process involving reviews, rebuttals, meta-reviews, final decisions, and subsequent manuscript revisions. Recent advances in large language models (LLMs) have motivated methods that assist or automate different…

Computation and Language · Computer Science 2026-05-05 Sihong Wu , Owen Jiang , Yilun Zhao , Tiansheng Hu , Yiling Ma , Kaiyan Zhang , Manasi Patwardhan , Arman Cohan

Recent advancements in AI have reinvigorated Agent-Based Models (ABMs), as the integration of Large Language Models (LLMs) has led to the emergence of ``generative ABMs'' as a novel approach to simulating social systems. While ABMs offer…

Multiagent Systems · Computer Science 2025-04-07 Maik Larooij , Petter Törnberg

While large language models (LLMs) offer promising capabilities for automating academic workflows, existing systems for academic peer review remain constrained by text-only inputs, limited contextual grounding, and a lack of actionable…

Computation and Language · Computer Science 2026-02-18 Mengze Hong , Di Jiang , Weiwei Zhao , Yawen Li , Yihang Wang , Xinyuan Luo , Yanjie Sun , Chen Jason Zhang

The use of AI in legal analysis and prediction (LegalAI) has gained widespread attention, with past research focusing on retrieval-based methods and fine-tuning large models. However, these approaches often require large datasets and…

Multiagent Systems · Computer Science 2025-04-09 Xi Chen , Mao Mao , Shuo Li , Haotian Shangguan

Online social networks offer a valuable lens to analyze both individual and collective phenomena. Researchers often use simulators to explore controlled scenarios, and the integration of Large Language Models (LLMs) makes these simulations…

Social and Information Networks · Computer Science 2026-04-06 Elisa Composta , Nicolo' Fontana , Francesco Corso , Francesco Pierri

The rise of echo chambers on social media platforms has heightened concerns about polarization and the reinforcement of existing beliefs. Traditional approaches for simulating echo chamber formation have often relied on predefined rules and…

Social and Information Networks · Computer Science 2025-02-26 Chenhao Gu , Ling Luo , Zainab Razia Zaidi , Shanika Karunasekera

The recent release of very large language models such as PaLM and GPT-4 has made an unprecedented impact in the popular media and public consciousness, giving rise to a mixture of excitement and fear as to their capabilities and potential…

This paper explores an automatic news generation and fact-checking system based on language processing, aimed at enhancing the efficiency and quality of news production while ensuring the authenticity and reliability of the news content.…

Computation and Language · Computer Science 2024-05-22 Xirui Peng , Qiming Xu , Zheng Feng , Haopeng Zhao , Lianghao Tan , Yan Zhou , Zecheng Zhang , Chenwei Gong , Yingqiao Zheng

Explainable fake news detection predicts the authenticity of news items with annotated explanations. Today, Large Language Models (LLMs) are known for their powerful natural language understanding and explanation generation abilities.…

Computation and Language · Computer Science 2024-12-25 Yifeng Wang , Zhouhong Gu , Siwei Zhang , Suhang Zheng , Tao Wang , Tianyu Li , Hongwei Feng , Yanghua Xiao

As Large Language Models (LLMs) and other forms of Generative AI permeate various aspects of our lives, their application for learning and education has provided opportunities and challenges. This paper presents an investigation into the…

Computers and Society · Computer Science 2023-06-06 Daniel Leiker , Sara Finnigan , Ashley Ricker Gyllen , Mutlu Cukurova

Science journalism reports current scientific discoveries to non-specialists, aiming to enable public comprehension of the state of the art. However, this task can be challenging as the audience often lacks specific knowledge about the…

Computation and Language · Computer Science 2024-07-16 Gongyao Jiang , Xinran Shi , Qiong Luo

The advent of Large Language Models (LLMs) and generative AI is fundamentally transforming information retrieval and processing on the Internet, bringing both great potential and significant concerns regarding content authenticity and…

Information Retrieval · Computer Science 2026-02-12 Michele Garetto , Alessandro Cornacchia , Franco Galante , Emilio Leonardi , Alessandro Nordio , Alberto Tarable

Generative artificial intelligence (AI) is increasingly integrated into the online platforms where humans exchange opinions; large language models (LLMs) now polish users' posts on LinkedIn and provide context for content shared on X. While…

Computers and Society · Computer Science 2026-05-18 Stratis Tsirtsis , Kai Rawal , Chris Russell , Brent Mittelstadt , Sandra Wachter

Large Language Models (LLMs) have enabled new ways to satisfy information needs. Although great strides have been made in applying them to settings like document ranking and short-form text generation, they still struggle to compose…

Simulated Students offer a valuable methodological framework for evaluating pedagogical approaches and modelling diverse learner profiles, tasks which are otherwise challenging to undertake systematically in real-world settings. Recent…

Computers and Society · Computer Science 2025-11-11 Luis Marquez-Carpintero , Alberto Lopez-Sellers , Miguel Cazorla