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Alexander Stranzl

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#machine learning Preprint Sep 2026

DreamingGoose: Staged Distillation from Autoregressive Transformers to Bidirectional Recurrent Diffusion Language Models

Pretrained autoregressive Transformers represent a large sunk investment in compute. Existing conversion methods reuse that investment by changing either the architecture (attention to recurrence) or the objective (next-token prediction to denoising), never both. We convert Qwen3 teachers at 1.7B and 8B into attention-...

Julian Boesch, Andrew Wee, Alexander Stranzl · 1 citation · ⚡1

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