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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".
678 82 +0/wk
GitHub
benchmark dataset evaluation factuality language language-modeling large-language-models metrics
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| Metric | long-form-factuality | ekphrasis | buffer-of-thought-llm | langchain_dart |
|---|---|---|---|---|
| Stars | 678 | 677 | 676 | 676 |
| Forks | 82 | 95 | 64 | 148 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Dart |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | MIT | MIT | MIT |
Capability Radar vs ekphrasis
long-form-factuality
ekphrasis
Maintenance Activity 100
Last code push 7 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 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.