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The ability to distinguish whether an image is generated by artificial intelligence (AI) is a crucial ingredient in human intelligence, usually accompanied by a complex and dialectical forensic and reasoning process. However, current fake…

Computer Vision and Pattern Recognition · Computer Science 2024-09-10 Yixuan Li , Xuelin Liu , Xiaoyang Wang , Bu Sung Lee , Shiqi Wang , Anderson Rocha , Weisi Lin

The rise of Multimodal Large Language Models (MLLMs) has become a transformative force in the field of artificial intelligence, enabling machines to process and generate content across multiple modalities, such as text, images, audio, and…

Computation and Language · Computer Science 2025-12-09 Ming Li , Keyu Chen , Ziqian Bi , Ming Liu , Xinyuan Song , Zekun Jiang , Tianyang Wang , Benji Peng , Qian Niu , Junyu Liu , Jinlang Wang , Sen Zhang , Xuanhe Pan , Jiawei Xu , Pohsun Feng

The growing availability of large language models (LLMs) has raised questions about their role in academic peer review. This study examines the temporal emergence of AI-generated content in peer reviews by applying a detection model trained…

Computation and Language · Computer Science 2026-03-24 Siyuan Shen , Kai Wang

Recent advancements in Artificial Intelligence, particularly in Large Language Models (LLMs), have transformed natural language processing by improving generative capabilities. However, detecting biases embedded within these models remains…

Computation and Language · Computer Science 2025-03-11 Suvendu Mohanty

The widespread dissemination of hate speech, harassment, harmful and sexual content, and violence across websites and media platforms presents substantial challenges and provokes widespread concern among different sectors of society.…

Computer Vision and Pattern Recognition · Computer Science 2024-11-27 Nouar AlDahoul , Myles Joshua Toledo Tan , Harishwar Reddy Kasireddy , Yasir Zaki

AI-generated content is becoming increasingly prevalent in the real world, leading to serious ethical and societal concerns. For instance, adversaries might exploit large multimodal models (LMMs) to create images that violate ethical or…

Computation and Language · Computer Science 2025-04-14 Hongchao Fang , Yixin Liu , Jiangshu Du , Can Qin , Ran Xu , Feng Liu , Lichao Sun , Dongwon Lee , Lifu Huang , Wenpeng Yin

The rapid advancement of Large Language Models (LLMs) has ushered in an era where AI-generated text is increasingly indistinguishable from human-generated content. Detecting AI-generated text has become imperative to combat misinformation,…

Computation and Language · Computer Science 2024-06-12 Ye Zhang , Qian Leng , Mengran Zhu , Rui Ding , Yue Wu , Jintong Song , Yulu Gong

The rapid development of large language models (LLMs), like ChatGPT, has resulted in the widespread presence of LLM-generated content on social media platforms, raising concerns about misinformation, data biases, and privacy violations,…

Computation and Language · Computer Science 2025-02-07 Zihao Cheng , Li Zhou , Feng Jiang , Benyou Wang , Haizhou Li

In recent years, particularly since the early 2020s, Large Language Models (LLMs) have emerged as the most powerful AI tools in addressing a diverse range of challenges, from natural language processing to complex problem-solving in various…

Computer Vision and Pattern Recognition · Computer Science 2024-01-25 Xinyu Yang , Jizhe Zhou

The recent proliferation of photorealistic AI-generated images (AIGI) has raised urgent concerns about their potential misuse, particularly on social media platforms. Current state-of-the-art AIGI detection methods typically rely on large,…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Nicholas Chivaran , Jianbing Ni

Large Language Models (LLMs) have demonstrated remarkable capabilities in important tasks such as natural language understanding and language generation, and thus have the potential to make a substantial impact on our society. Such…

Computation and Language · Computer Science 2024-05-24 Zhongwei Wan , Xin Wang , Che Liu , Samiul Alam , Yu Zheng , Jiachen Liu , Zhongnan Qu , Shen Yan , Yi Zhu , Quanlu Zhang , Mosharaf Chowdhury , Mi Zhang

Social media influence campaigns pose significant challenges to public discourse and democracy. Traditional detection methods fall short due to the complexity and dynamic nature of social media. Addressing this, we propose a novel detection…

Social and Information Networks · Computer Science 2023-11-15 Luca Luceri , Eric Boniardi , Emilio Ferrara

Hypothesis generation is a fundamental step in scientific discovery, yet it is increasingly challenged by information overload and disciplinary fragmentation. Recent advances in Large Language Models (LLMs) have sparked growing interest in…

Generative AI models, renowned for their ability to synthesize high-quality content, have sparked growing concerns over the improper generation of copyright-protected material. While recent studies have proposed various approaches to…

Computer Vision and Pattern Recognition · Computer Science 2025-02-25 Qipan Xu , Zhenting Wang , Xiaoxiao He , Ligong Han , Ruixiang Tang

Large Language Models (LLMs) perform impressively well in various applications. However, the potential for misuse of these models in activities such as plagiarism, generating fake news, and spamming has raised concern about their…

Computation and Language · Computer Science 2025-01-20 Vinu Sankar Sadasivan , Aounon Kumar , Sriram Balasubramanian , Wenxiao Wang , Soheil Feizi

The spread of fake news has emerged as a critical challenge, undermining trust and posing threats to society. In the era of Large Language Models (LLMs), the capability to generate believable fake content has intensified these concerns. In…

Computation and Language · Computer Science 2023-09-19 Jinyan Su , Terry Yue Zhuo , Jonibek Mansurov , Di Wang , Preslav Nakov

The advent of artificial intelligence (AI) has significantly impacted the traditional judicial industry. Moreover, recently, with the development of AI-generated content (AIGC), AI and law have found applications in various domains,…

Computation and Language · Computer Science 2023-12-08 Jinqi Lai , Wensheng Gan , Jiayang Wu , Zhenlian Qi , Philip S. Yu

The rapid advancement of generative artificial intelligence (GenAI) has revolutionized content creation across text, visual, and audio domains, simultaneously introducing significant risks such as misinformation, identity fraud, and content…

Cryptography and Security · Computer Science 2025-04-08 Lele Cao

With the advance of Artificial Intelligence (AI), Large Language Models (LLMs) have gained prominence and been applied in diverse contexts. As they evolve into more sophisticated versions, it is essential to assess whether they reproduce…

Computation and Language · Computer Science 2025-08-15 Gustavo Bonil , Simone Hashiguti , Jhessica Silva , João Gondim , Helena Maia , Nádia Silva , Helio Pedrini , Sandra Avila

Large Language Model (LLM)-based judgments leverage powerful LLMs to efficiently evaluate candidate content and provide judgment scores. However, the inherent biases and vulnerabilities of LLM-generated judgments raise concerns,…

Artificial Intelligence · Computer Science 2025-09-30 Dawei Li , Zhen Tan , Chengshuai Zhao , Bohan Jiang , Baixiang Huang , Pingchuan Ma , Abdullah Alnaibari , Kai Shu , Huan Liu