Segmenting Human-LLM Co-authored Text via Change Point Detection

ArXi:2605.03723v1 Announce Type: cross The rise of large language models (LLMs) has created an urgent need to distinguish between human-written and LLM-generated text to ensure authenticity and societal trust. Existing detectors typically provide a binary classification for an entire passage; however, this is insufficient for human--LLM co-authored text, where the objective is to localize specific segments