SJTU-DENG-Lab / Discrete-Diffusion-Forcing
[ICLR 2026] Discrete Diffusion Forcing (D2F): dLLMs Can Do Faster-Than-AR Inference
Why this job: matched by what the repo talks about: diffusion, inference, iclr, than
What it does
This repository provides the code to reproduce our evaluation results and run generation demos.
Get started
# Clone the repository
git clone https://github.com/SJTU-DENG-Lab/Discrete-Diffusion-Forcing.git
cd Discrete-Diffusion-Forcing - Maintenance
- Inactive
- Last commit 10 months ago
- Stars
- 264
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 94% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 71% closed
- 4 still open
- Pull requests
- 1 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 94%
- Shell 6%
Topics
- dllm
- inference-acceleration
- llm
Project record
- JobImage generation
- StatusListed
- Commits94
- Forks20
- Watching3
- Stars in 28 days+1
- CreatedAug 5, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026