Large language models (LLMs) have exhibited remarkable efficacy and proficiency in a
wide array of NLP endeavors. Nevertheless, concerns are growing rapidly regarding the …

This study presents a comprehensive evaluation of the cybersecurity robustness of five
leading Large Language Models (LLMs)-ChatGPT-4, Google Gemini, Anthropic Claude …

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 …

SemEval-2024 Task 8 provides a challenge to detect human-written and machine-
generated text. There are 3 subtasks for different detection scenarios. This paper proposes a …

For extremely weak-supervised text classification, pioneer research generates pseudo
labels by mining texts similar to the class names from the raw corpus, which may end up with …

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 …

With the launch of ChatGPT, large language models (LLMs) have attracted global attention.
In the realm of article writing, LLMs have witnessed extensive utilization, giving rise to …

Inspiration is linked to various positive outcomes, such as increased creativity, productivity,
and happiness. Although inspiration has great potential, there has been limited effort toward …

Key characteristics of large language models include:(1) Large language models are
characterized by their immense size, often having hundreds of millions to billions of …

Self-rewarding have emerged recently as a powerful tool in the field of Natural Language
Processing (NLP), allowing language models to generate high-quality relevant responses …