AE
Eclipsess/Awesome-Efficient-Reasoning-LLMs
[TMLR 2025] Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
757 37 +0/wk
GitHub
efficiency large-language-models large-reasoning-models
Trend
3
Star & Fork Trend (21 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Eclipsess/Awesome-Efficient-Reasoning-LLMs has +0 stars this period . 7-day velocity: 0.3%.
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| Metric | Awesome-Efficient-Reasoning-LLMs | babyai | Medical-Graph-RAG | lmms-engine |
|---|---|---|---|---|
| Stars | 757 | 757 | 756 | 756 |
| Forks | 37 | 152 | 133 | 35 |
| Weekly Growth | +0 | +0 | +0 | +1 |
| Language | N/A | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | BSD-3-Clause | MIT | N/A |
Capability Radar vs babyai
Awesome-Efficient-Reasoning-LLMs
babyai
Maintenance Activity 81
Last code push 40 days ago.
Community Engagement 70
Fork-to-star ratio: 4.9%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.