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High confidence scores in diffusion language models can mask significant ranking failures, revealing a critical gap between internal error detection and external performance.
Achieve state-of-the-art structure-preserving conditional image generation with diffusion models using only 8M parameters, or even *fewer* parameters than existing adapters.
