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By fusing CLIP with a diffusion model, DiCLIP unlocks surprisingly strong weakly supervised segmentation, outperforming prior methods and slashing training costs.
LLMs can generate high-quality, explainable fake news detection even when relying solely on unverified reports, by decomposing claims and modeling dependencies in a graph.
