2 papers
cs.LG2026
DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment in Debate Scenarios
Tongzhou Yu, Mingjia Li, Hong Qian +6
Human creativity has emerged as a critical competency in the era of large language models. Assessing creativity in complex, open-ended environments is a grand challenge in data min…
cs.CV2026
Decoupling Semantics and Fingerprints: A Universal Representation for AI-Generated Image Detection
Zhiyuan Wang, Yanxiang Chen, Pengcheng Zhao +2
Detecting AI-generated images across unseen architectures remains challenging, as existing models often overfit to generator-specific fingerprints and semantic content rather than…