Detecting Document-level Paraphrased Machine Generated Content:
Mimicking Human Writing Style and Involving Discourse Features
Detecting Document-level Paraphrased Machine Generated Content:
Mimicking Human Writing Style and Involving Discourse Features
The availability of high-quality APIs for Large Language Models (LLMs) has facilitated the widespread creation of Machine-Generated Content (MGC), posing challenges such as academic plagiarism and the spread of misinformation. Existing MGC detectors often focus solely on surface-level information, overlooking implicit and structural features. This makes them susceptible to deception …