Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection

arXiv:2403.13335v1 Announce Type: new
Abstract: Large language models (LLMs) have reached human-like proficiency in generating diverse textual content, underscoring the necessity for effective fake text detection to avoid potential risks such as fake news in social media. Previous research has mostly tested single models on in-distribution datasets, limiting our understanding of how these models perform on different types of data for LLM-generated text detection task. We researched this by testing five specialized transformer-based models on both in-distribution and out-of-distribution datasets …

abstract arxiv cs.ai cs.lg datasets detection distribution diverse fake fake news generated human human-like language language models large language large language models llm llms media research risks social social media text textual transformers type understanding