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# JustOPD

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  1. arXiv

    Diffusion language models can learn from autoregressive teachers: JustOPD lifts Dream-7B's math reasoning while keeping any-order decoding

    Autoregressive models generate strictly left to right, while diffusion language models denoise in arbitrary order, so the former's token-level supervision does not transfer directly. JustOPD forces the diffusion student to roll out left to right during training, letting a Qwen3-14B teacher supervise every intermediate state, while inference keeps any-order decoding. With Dream-7B as student and Qwen3-14B as teacher on GSM8K and MATH500, scores rise over the base model across several divergences.

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