About PaperBench
Definition and scoring
- Organisation
- OpenAI
- Category
- Research
- Version
- Not evaluated
- Direction
- higher is better
- Ranking use
- Weighted 3.5%
- Contamination risk
- Low
An evaluation of agents attempting to replicate machine-learning research from published papers. Every genuine source row stays tied to its exact model label, configuration, benchmark version and evaluation system. The summary chart shows one best compatible score per canonical product; Score 2.0 admits only explicitly mapped, frozen protocols and keeps incompatible configurations separate.
Open benchmark source ↗