Artificial intelligence (AI) as a disruptive technology is not new. However, its recent evolution,
engineered by technological transformation, big data analytics, and quantum computing …

Pre-processing and feature engineering are essential yet labor-intensive components of
NLP. Engineers must often balance the demand for high model accuracy against …

As LLMs rapidly advance, increasing concerns arise regarding risks about actual authorship
of texts we see online and in real world. The task of distinguishing LLM-authored texts is …

An increasing demand for model explainability has accompanied the widespread adoption
of transformers in various fields of applications. In this paper, we conduct a survey of the …

Large language models (LLMs) have advanced to a point that even humans have difficulty
discerning whether a text was generated by another human, or by a computer. However …

The aim of the study was to characterize retractions due to randomly generated content. A
cross-sectional study was performed, using Retraction Watch database, Journal Citation …

In the era dominated by information overload and its facilitation with Large Language
Models (LLMs), the prevalence of misinformation poses a significant threat to public …

Recent improvements in the quality of the generations by large language models have
spurred research into identifying machine-generated text. Systems proposed for the task …

Computational linguistics and natural language processing are at the heart of the AI
revolution that is currently transforming our lives. We are witnessing the growth of these …

This paper outlines our approach to SemEval-2024 Task 8 (Subtask B), which focuses on
discerning machine-generated text from human-written content, while also identifying the …