Deep Learning Detection Method for Large Language Models-Generated Scientific Content

arXiv:2403.00828v1 Announce Type: cross
Abstract: Large Language Models (LLMs), such as GPT-3 and BERT, reshape how textual content is written and communicated. These models have the potential to generate scientific content that is indistinguishable from that written by humans. Hence, LLMs carry severe consequences for the scientific community, which relies on the integrity and reliability of publications. This research paper presents a novel ChatGPT-generated scientific text detection method, AI-Catcher. AI-Catcher integrates two deep learning models, multilayer perceptron (MLP) and convolutional …

abstract arxiv bert community consequences cs.ai cs.cl cs.lg deep learning detection generate generated gpt gpt-3 humans language language models large language large language models llms reshape textual type