This paper presents the overview of the AuTexTification shared task as part of the IberLEF
2023 Workshop in Iberian Languages Evaluation Forum, within the framework of the SEPLN …

[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 …

This paper describes the participation of the Genaios team in the monolingual track of
Subtask A at SemEval-2024 Task 8. Our best system, LLMixtic, is a Transformer Encoder …

The goal of ALTA 2023 Shared Task is to distinguish between human-authored text and
synthetic text generated by Large Language Models (LLMs). Given the growing societal …

Abstract 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 …

Large language models (LLMs) have led to a surge in machine-generated content across
various platforms, posing a challenge for humans to distinguish between machine …

In the current wave of rapid technological advancement, many cutting-edge large language
models (LLMs) have emerged, such as GPT-4 and Llama. However, the ability of these …

Considering the potential of tools such as ChatGPT or Gemini to generate texts in a similar
way to a human would do, having reliable detectors of AI–AI-generated content (AIGC)–is …

Our approach primarily centers on feature-based systems, where a diverse array of features
pertinent to the text's linguistic attributes is extracted. Alongside those, we incorporate token …

In this paper, we present our approach to detecting AI-generated texts in a multilingual
context as part of the IberAuTexTification 2024 competition. We aimed to accurately classify …