Sequential Diffusion Language Model (SDLM) enhances pre-trained autoregressive language models by adaptively determining generation length and maintaining KV-cache compatibility, achieving high efficiency and throughput.
active 2025-09-28 → 2026-03-17 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 171 days from 2025-09-28 to 2026-03-17. Pushes: 5 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 6 total, peak 4 in a day. Stars: 28 total, peak 4 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| yuecao0119 | 6 | 3 | 0 | 3 |
| lll2343 | 3 | 2 | 0 | 1 |
| SchweitzerGAO | 2 | 0 | 0 | 1 |
| csutora | 1 | 0 | 0 | 0 |
| Knlife | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#5lll23432026-01-09 06:22Questions of the inference strategy
- Issue#5SchweitzerGAO2026-01-07 06:18Questions of the inference strategy
- Issue comment#4yuecao01192025-10-23 06:27Understanding the causal attention mask
- Issue comment#4Knlife2025-10-23 06:04Understanding the causal attention mask
- Issue comment#4yuecao01192025-10-23 05:56Understanding the causal attention mask
- Issue comment#4SchweitzerGAO2025-10-23 05:46Understanding the causal attention mask
- Issue comment#1yuecao01192025-10-01 08:19license
- Issue#1csutora2025-09-30 07:25license
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 28 stars here means stars gained during the window, not the repo's star count.