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§9 · Diffusion Language Models
CAPTURED
9 On the list1 Starred0 In the Atlas9 To read
Rungs
Where this section moves a numberNo study unit draws on this section yet.
The pick
The source author's must-read for this sectionThe papers
9 papers- Deferred Commitment Decoding for Diffusion Language Models ↗
- Generative Modeling via Drifting ↗
- LLaDA2.1: Speeding Up Text Diffusion via Token Editing ↗★
- dLLM: Simple Diffusion Language Modeling ↗
- Rethinking Token Prediction: Tree-Structured Diffusion Language Model ↗
- Continuous Latent Diffusion Language Model ↗
- How to Train Your Latent Diffusion Language Model Jointly with the Latent Space ↗
- TextLDM: Language Modeling with Continuous Latent Diffusion ↗
- Factorization-Error-Free Discrete Diffusion Language Model via Speculative Decoding ↗
What counts as read
A paper is on this list because someone worth reading put it there. That is a pointer, not a claim: it counts as read only once it has a close-read file in kb/<topic>/raw/, which is what a close-read link on a row means. There is deliberately nothing to tick off here — the study desk is the only writer of study state, and a second way to mark something done is a second version of the truth.