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thunlp/PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
4.3k 391 -1/wk
GitHub
ai bert machine-learning nlp pre-trained-language-models prompt prompt-based prompt-learning prompt-toolkit
Trend
0
Star & Fork Trend (33 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
thunlp/PromptPapers has -1 stars this period . 7-day velocity: -0.0%.
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| Metric | PromptPapers | ElegantRL | local-deep-research | llm-twin-course |
|---|---|---|---|---|
| Stars | 4.3k | 4.3k | 4.3k | 4.3k |
| Forks | 391 | 971 | 408 | 716 |
| Weekly Growth | -1 | +1 | +1 | +1 |
| Language | N/A | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | NOASSERTION | MIT | MIT |
Capability Radar vs ElegantRL
PromptPapers
ElegantRL
Maintenance Activity 0
Last code push 997 days ago.
Community Engagement 45
Fork-to-star ratio: 9.1%. 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.