rhfeiyang/HC-DLM
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Official implementation of "Hierarchical Continuous Diffusion Language Models"
About the project
Official implementation of HC-DLM, a diffusion language model that combines a continuous latent plan with discrete token guidance at every generation step. Code and artifacts are not yet released.
Useful for
- Train a diffusion-based text generation model with discrete token guidance
- Compare HC-DLM quality against other diffusion language models on Sudoku and Countdown tasks
- Study the hybrid discrete-continuous diffusion architecture for research
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Star growth looks organic. Data as of October 4, 2026, 02:30 UTC.
The star-growth assessment does not verify whether the project is safe to run.
Stars per day
Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.
Why it’s trending
- 0 stars so far today, about 2 expected by the end of the day.
- The repository is 5 days old and already has 54 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
Three GitHub discoveries in each edition
What they do, why they are gaining interest, and what to check before using them.
Editions at 10:00, 16:00, 22:00 MSK.
Numbers
- Total stars
- 54
- Today
- 0 · ≈ 2 by evening
- Forks
- 1
- Issues and pull requests
- 1
- Watchers
- 0
- Created
- September 29, 2026
- Last push
- October 2, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- October 4, 2026Top new repositories this week: #200
README badge
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[](https://gitnova.dev/en/r/rhfeiyang/HC-DLM)