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News/Don't Retrain, Align: Adapting Autoregressive LMs to Diffusion LMs via Representation Alignment
arxiv
PublishedMay 11, 2026 at 4:00 AM
▲bullish

Don't Retrain, Align: Adapting Autoregressive LMs to Diffusion LMs via Representation Alignment

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2605.06885v1 Announce Type: cross Abstract: Diffusion language models (DLMs) have recently demonstrated capabilities that complement standard autoregressive (AR) models, particularly in non-sequential generation and bidirectional editing. Although recent work has shown that pretrained autoregr

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Discussion
Mentioned models
02
  • 01
    Diffusion Language Model
  • 02
    Autoregressive Model
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#diffusion#language-models#representation-learning#transfer-learning

No replies yet. Be first.

Mentioned models
02
  • 01
    Diffusion Language Model
  • 02
    Autoregressive Model
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#diffusion#language-models#representation-learning#transfer-learning
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