ChatGPT Detector

ChatGPT detectors aim to distinguish text generated by large language models (LLMs) like ChatGPT from human-written text, addressing concerns about plagiarism, misinformation, and academic dishonesty. Current research focuses on developing robust classifiers, often employing deep learning architectures like transformers, and exploring various feature sets including stylistic and semantic characteristics to improve accuracy. The effectiveness of these detectors, however, is challenged by adversarial attacks and biases, particularly against non-native English speakers, highlighting the need for more robust and equitable methods with broader applicability across diverse text types and domains.