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Related papers: A Survey on Detection of LLMs-Generated Content

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Large language models (LLMs) have the potential to transform our lives and work through the content they generate, known as AI-Generated Content (AIGC). To harness this transformation, we need to understand the limitations of LLMs. Here, we…

Artificial Intelligence · Computer Science 2024-04-05 Xiao Fang , Shangkun Che , Minjia Mao , Hongzhe Zhang , Ming Zhao , Xiaohang Zhao

With the recent advancement in large language models (LLMs), there is a growing interest in combining LLMs with multimodal learning. Previous surveys of multimodal large language models (MLLMs) mainly focus on multimodal understanding. This…

Large Language Models (LLMs) have drawn widespread attention and research due to their astounding performance in text generation and reasoning tasks. Derivative products, like ChatGPT, have been extensively deployed and highly sought after.…

Software Engineering · Computer Science 2024-12-11 Zibin Zheng , Kaiwen Ning , Qingyuan Zhong , Jiachi Chen , Wenqing Chen , Lianghong Guo , Weicheng Wang , Yanlin Wang

Large Language Models (LLM) are already widely used to generate content for a variety of online platforms. As we are not able to safely distinguish LLM-generated content from human-produced content, LLM-generated content is used to train…

Machine Learning · Computer Science 2024-06-18 Martin Briesch , Dominik Sobania , Franz Rothlauf

The recent progression of Large Language Models (LLMs) has witnessed great success in the fields of data-centric applications. LLMs trained on massive textual datasets showed ability to encode not only context but also ability to provide…

Cryptography and Security · Computer Science 2024-05-24 Mohammed Hassanin , Nour Moustafa

Recent advancements in Large Language Models (LLMs) have led to high-quality Machine-Generated Text (MGT), giving rise to countless new use cases and applications. However, easy access to LLMs is posing new challenges due to misuse. To…

Computation and Language · Computer Science 2024-04-15 Areg Mikael Sarvazyan , José Ángel González , Marc Franco-Salvador

The pervasive spread of misinformation and disinformation in social media underscores the critical importance of detecting media bias. While robust Large Language Models (LLMs) have emerged as foundational tools for bias prediction,…

Computers and Society · Computer Science 2024-12-11 Luyang Lin , Lingzhi Wang , Jinsong Guo , Kam-Fai Wong

The rapid development of Artificial Intelligence (AI) has led to the creation of powerful text generation models, such as large language models (LLMs), which are widely used for diverse applications. However, concerns surrounding…

Artificial Intelligence · Computer Science 2024-12-06 Fnu Neha , Deepshikha Bhati , Deepak Kumar Shukla , Angela Guercio , Ben Ward

Fake news poses a significant threat to the integrity of information ecosystems and public trust. The advent of Large Language Models (LLMs) holds considerable promise for transforming the battle against fake news. Generally, LLMs represent…

Computation and Language · Computer Science 2024-09-27 Dorsaf Sallami , Yuan-Chen Chang , Esma Aïmeur

The self-attention revolution allowed generative language models to scale and achieve increasingly impressive abilities. Such models - commonly referred to as Large Language Models (LLMs) - have recently gained prominence with the general…

Computation and Language · Computer Science 2023-04-19 Da Silva Gameiro Henrique , Andrei Kucharavy , Rachid Guerraoui

Large language models (LLMs) have been one of the most important discoveries in machine learning in recent years. LLM-based artificial intelligence (AI) assistants, such as ChatGPT, have consistently attracted the attention from…

Computation and Language · Computer Science 2025-03-19 Alexey Karev , Dong Xu

The rapid progress of Natural Language Processing (NLP) technologies has led to the widespread availability and effectiveness of text generation tools such as ChatGPT and Claude. While highly useful, these technologies also pose significant…

Computation and Language · Computer Science 2024-10-10 Chao Zhou , Cheng Qiu , Lizhen Liang , Daniel E. Acuna

With their advanced capabilities, Large Language Models (LLMs) can generate highly convincing and contextually relevant fake news, which can contribute to disseminating misinformation. Though there is much research on fake news detection…

Computation and Language · Computer Science 2026-02-05 Rupak Kumar Das , Jonathan Dodge

Writing is a foundational literacy skill that underpins effective communication, fosters critical thinking, facilitates learning across disciplines, and enables individuals to organize and articulate complex ideas. Consequently, writing…

Computation and Language · Computer Science 2026-03-05 Jiangang Hao

The dissemination of Large Language Models (LLMs), trained at scale, and endowed with powerful text-generating abilities, has made it easier for all to produce harmful, toxic, faked or forged content. In response, various proposals have…

Computation and Language · Computer Science 2025-06-12 Matthieu Dubois , François Yvon , Pablo Piantanida

In recent times, large language models (LLMs) have made significant strides in generating computer code, blurring the lines between code created by humans and code produced by artificial intelligence (AI). As these technologies evolve…

Machine Learning · Computer Science 2024-07-04 Marc Oedingen , Raphael C. Engelhardt , Robin Denz , Maximilian Hammer , Wolfgang Konen

The increasing complexity of software systems has driven significant advancements in program analysis, as traditional methods unable to meet the demands of modern software development. To address these limitations, deep learning techniques,…

Software Engineering · Computer Science 2025-02-27 Jiayimei Wang , Tao Ni , Wei-Bin Lee , Qingchuan Zhao

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

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

This paper presents a comprehensive survey of ChatGPT-related (GPT-3.5 and GPT-4) research, state-of-the-art large language models (LLM) from the GPT series, and their prospective applications across diverse domains. Indeed, key innovations…

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