ArtifactBench - Attribute Prediction: leaderboard
Metric: Mean absolute error (0-1; predicted vs reported score on model-dataset evaluation edges of a Hugging Face artifact graph (transductive test split), targets are the reported metric values normalized to 0-1; the LLM reads the model and dataset metadata without graph context). Source: arxiv.org. Saturation forecast: Around July 2027. 2 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.2 | 0.14 |
| 2 | Qwen 3 8B | 0.2 |
Interactive version: theaggregate.ai/benchmark?slug=artifactbench-attribute-prediction · How It Works · Data refreshed daily, snapshot 2026-09-26.