Large language models (LLMs) have demonstrated remarkable capability to generate fluent
responses to a wide variety of user queries. However, this has also raised concerns about …

Abstract The “Voight-Kampff” Generative AI Authorship Verification task aims to determine
whether a text was generated by an AI or written by a human. As in its fictional inspiration, 1 …

Current techniques for detecting AI-generated text are largely confined to manual feature
crafting and supervised binary classification paradigms. These methodologies typically lead …

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 …

Abstract The rise of Large Language Models (LLMs) has brought about a notable shift,
rendering them increasingly ubiquitous and readily accessible. This accessibility has …

This paper presents a comprehensive overview of the first edition of the Academic Essay
Authenticity Challenge, organized as part of the GenAI Content Detection shared tasks …

One of the most widely used content types in internet misinformation campaigns is memes.
Since they can readily reach a big number of users on social media sites, they are most …

The ease of access to large language models (LLMs) has enabled a widespread of machine-
generated texts, and now it is often hard to tell whether a piece of text was human-written or …

[EN] This paper presents the overview of the IberAuTexTification shared taskas part of the
IberLEF 2024 Workshop in Iberian Languages Evaluation Forum, within the framework of …

Detecting hallucinated or factually inaccurate information from GPT models can be
challenging for humans. Consequently, it is crucial to thoroughly test Large Language …