JiaTang Luo

IACW: Intent-Aware Controllable Watermarking for Scalable Authorial Intent Attribution

As Large Language Models (LLMs) integrate into writing workflows, precise governance requires distinguishing ''how AI participated'' rather than merely ''whether AI was used.'' Traditional binary detection often misclassifies ``AI-polished'' content as generated, creating fairness risks. We propose …