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The current fascination with large language models, or LLMs, derives from the fact that many users lack the expertise to evaluate the quality of the generated text. LLMs may therefore appear more capable than they actually are. The…

Computation and Language · Computer Science 2024-03-15 Eliza Mik

The proliferation of fake news has had far-reaching implications on politics, the economy, and society at large. While Fake news detection methods have been employed to mitigate this issue, they primarily depend on two essential elements:…

Computation and Language · Computer Science 2024-03-18 Guanghua Li , Wensheng Lu , Wei Zhang , Defu Lian , Kezhong Lu , Rui Mao , Kai Shu , Hao Liao

Recent advancements in natural language generation has raised serious concerns. High-performance language models are widely used for language generation tasks because they are able to produce fluent and meaningful sentences. These models…

Computation and Language · Computer Science 2020-10-06 Saurabh Gupta , Huy H. Nguyen , Junichi Yamagishi , Isao Echizen

Large Language Models (LLMs) are able to provide assistance on a wide range of information-seeking tasks. However, model outputs may be misleading, whether unintentionally or in cases of intentional deception. We investigate the ability of…

Computation and Language · Computer Science 2024-07-17 Betty Li Hou , Kejian Shi , Jason Phang , James Aung , Steven Adler , Rosie Campbell

Large language models (LLMs) are complex artificial intelligence systems capable of understanding, generating and translating human language. They learn language patterns by analyzing large amounts of text data, allowing them to perform…

Cryptography and Security · Computer Science 2024-03-15 Biwei Yan , Kun Li , Minghui Xu , Yueyan Dong , Yue Zhang , Zhaochun Ren , Xiuzhen Cheng

Large language models (LLMs) are currently at the forefront of intertwining artificial intelligence (AI) systems with human communication and everyday life. Thus, aligning them with human values is of great importance. However, given the…

Computation and Language · Computer Science 2024-06-06 Thilo Hagendorff

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

Large Language Models (LLMs) have shown a tremendous capacity for generating literary text. However, their effectiveness in generating children's stories has yet to be thoroughly examined. In this study, we evaluate the trustworthiness of…

Computation and Language · Computer Science 2023-08-02 Prabin Bhandari , Hannah Marie Brennan

In an era increasingly influenced by artificial intelligence, the detection of fake news is crucial, especially in contexts like election seasons where misinformation can have significant societal impacts. This study evaluates the…

Computation and Language · Computer Science 2024-06-12 Sahas Koka , Anthony Vuong , Anish Kataria

Large Language Models (LLMs) demonstrate impressive capabilities across various fields, yet their increasing use raises critical security concerns. This article reviews recent literature addressing key issues in LLM security, with a focus…

Cryptography and Security · Computer Science 2025-11-26 Benji Peng , Keyu Chen , Ming Li , Pohsun Feng , Ziqian Bi , Junyu Liu , Xinyuan Song , Qian Niu

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

The rapid spread of misinformation, further amplified by recent advances in generative AI, poses significant threats to society, impacting public opinion, democratic stability, and national security. Understanding and proactively assessing…

Artificial Intelligence · Computer Science 2025-06-02 Sania Nayab , Marco Simoni , Giulio Rossolini

Large language models (LLMs) have broad medical knowledge and can reason about medical information across many domains, holding promising potential for diverse medical applications in the near future. In this study, we demonstrate a…

Misinformation is on the rise, and the strong writing capabilities of LLMs lower the barrier for malicious actors to produce and disseminate false information. We study how LLMs behave when prompted to spread misinformation across languages…

Large language models (LLMs) have transformed natural language processing, achieving remarkable performance across diverse tasks. However, their impressive fluency often comes at the cost of producing false or fabricated information, a…

Computation and Language · Computer Science 2026-03-20 Aisha Alansari , Hamzah Luqman

With the rise of AI-generated content spewed at scale from large language models (LLMs), genuine concerns about the spread of fake news have intensified. The perceived ability of LLMs to produce convincing fake news at scale poses new…

Computation and Language · Computer Science 2025-04-01 Xinyu Wang , Wenbo Zhang , Sai Koneru , Hangzhi Guo , Bonam Mingole , S. Shyam Sundar , Sarah Rajtmajer , Amulya Yadav

The proliferation of misinformation on social media has raised significant societal concerns, necessitating robust detection mechanisms. Large Language Models such as GPT-4 and LLaMA2 have been envisioned as possible tools for detecting…

Computation and Language · Computer Science 2025-03-04 Tianyi Huang , Jingyuan Yi , Peiyang Yu , Xiaochuan Xu

Large language models (LLMs) are increasingly being utilised across a range of tasks and domains, with a burgeoning interest in their application within the field of journalism. This trend raises concerns due to our limited understanding of…

Computation and Language · Computer Science 2024-06-18 Filip Trhlik , Pontus Stenetorp

We live in the era of Generative Artificial Intelligence (GenAI). Deepfakes and Large Language Models (LLMs) are two examples of GenAI. Deepfakes, in particular, pose an alarming threat to society as they are capable of spreading…

Computers and Society · Computer Science 2024-02-08 Alakananda Mitra , Saraju P. Mohanty , Elias Kougianos

By leveraging the retrieval of information from external knowledge databases, Large Language Models (LLMs) exhibit enhanced capabilities for accomplishing many knowledge-intensive tasks. However, due to the inherent flaws of current…

Computation and Language · Computer Science 2024-09-13 Siye Wu , Jian Xie , Jiangjie Chen , Tinghui Zhu , Kai Zhang , Yanghua Xiao