A Lightweight Hybrid Framework for Detecting AI-Generated Scientific Text Using Multi-granularity Features and Language-Model Surprisal
The increasing adoption of generative artificial intelligence (Gen-AI) in scientific writing has transformed scholarly communication while also raising concerns about authorship transparency and research integrity. The growing use of large language models (LLMs) has increased the need for methods that can screen AI-gen...