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CT-OPD: Counterfactual Trace On-Policy Distillation for Diffusion Vision-Language Models
Diffusion vision-language models generate answers by gradually resolving masked tokens, making accurate conditional prediction in partially resolved states central to post-training. Masking completed answers yields coherent contexts and targets, but prescribed masks do not reflect the model's reveal
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