Papers by Jędrzej Warczyński

1 papers
One-step Nonautoregressive Natural Language Generation with Shortcut Flow Matching Models (2026.acl-short)

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Challenge: Recent diffusion-based approaches to text generation are inefficient due to the need for multiple denoising steps.
Approach: They propose a shortcut flow-matching model that learns to directly predict multi-step denoising outcomes in a single step.
Outcome: The proposed model improves on three datasets and can predict multi-step denoising outcomes in a single step.

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