IT
SinclairCoder/Instruction-Tuning-Papers
Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
767 23 +0/wk
GitHub
cross-task-generalization generalization instruction instruction-following large-language-models multi-task-learning natural-language-generation natural-language-processing natural-language-understanding prompt-learning
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
SinclairCoder/Instruction-Tuning-Papers has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Instruction-Tuning-Papers | awesome-qa | ckip-transformers | RLSeq2Seq |
|---|---|---|---|---|
| Stars | 767 | 767 | 767 | 768 |
| Forks | 23 | 104 | 81 | 161 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | N/A | N/A | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | CC0-1.0 | GPL-3.0 | MIT |
Capability Radar vs awesome-qa
Instruction-Tuning-Papers
awesome-qa
Maintenance Activity 0
Last code push 994 days ago.
Community Engagement 64
Fork-to-star ratio: 3.0%. 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.