Python
PolyX-Research/Robust-U1
🚀🚀🚀 [ICML 2026] Official Implementation of Robust-U1: Can MLLMs Self-Recover Corrupted Visual Content for Robust Understanding?
★ 355
Stars
3 forks · 1 open issues
flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
10.2
Momentum / 100
see the breakdown below
5mo ago
Created
last push 4mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | flat, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 2.8 | last push 4mo ago; decays to zero at 180 days |
| Scale | 15 | 7.4 | 355 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 10.2 | sum of the above |
Detail
| Topics | generationimage-restorationlarge-language-modelslow-level-visionreasoningreasoning-language-modelsunified-model |
| Matched on | LLM & Inference (large-language-models) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | +-168 stars over 26 days = -6.5/day |
| Lifetime average | 2.03 stars/day over 175 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |