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ConDOR (Coupled-Noise Distillation for One-Step Readout), trained from scratch to map different noise samples to different coherent blocks, shows how this approach can extend to multimodal generation, such as text-to-image and unconditional text-and-image generation.
CoCommit is proposed, a marker-gated coordination pass that delays commitment that approximates joint-mode decoding while reusing existing weights, requiring only one partial forward pass and no auxiliary model.
Joint commitment improves accuracy on all six benchmarks the authors evaluate, with the largest gains on reasoning and exact-answer tasks.
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