LF
google-deepmind/long-form-factuality
Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".
679 82 +1/wk
GitHub
benchmark dataset evaluation factuality language language-modeling large-language-models metrics
Trend
3
Star & Fork Trend (20 data points)
Stars
Forks
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Growth Velocity
google-deepmind/long-form-factuality has +1 stars this period . 7-day velocity: 0.1%.
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| Metric | long-form-factuality | Blackstone | ekphrasis | buffer-of-thought-llm |
|---|---|---|---|---|
| Stars | 679 | 681 | 677 | 676 |
| Forks | 82 | 107 | 95 | 64 |
| Weekly Growth | +1 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | Apache-2.0 | MIT | MIT |
Capability Radar vs Blackstone
long-form-factuality
Blackstone
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 60
Fork-to-star ratio: 12.1%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 49
+1 stars this period — 0.15% growth rate.
License Clarity 30
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Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.