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cs.CL2026
SASA: Semantic-Aware Contrastive Learning Framework with Separated Attention for Triple Classification
Xu Xiaodan, Hu Xiaolin
Knowledge Graphs~(KGs) often suffer from unreliable knowledge, which restricts their utility. Triple Classification~(TC) aims to determine the validity of triples from KGs. Recentl…
cs.CV2026
DeepInv: A Novel Self-supervised Learning Approach for Fast and Accurate Diffusion Inversion
Ziyue Zhang, Luxi Lin, Xiaolin Hu +4
Diffusion inversion is a task of recovering the noise of an image in a diffusion model, which is vital for controllable diffusion image editing. At present, diffusion inversion sti…