Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in [1].
Data-centric Machine Learning Research (DMLR)
The Percentage of Empirical Papers Documenting Each Reproducibility Variable
| Venue |
Reproducibility Score based on Gundersen et al. (2025)
|
Global mean is the average score over the seven reproducibility variables for empirical research papers.
|
Percentage of papers that are empirical research vs theoretical research
|
Percentage of empirical research papers with at least one author from Industry
|
Website | ||
|---|---|---|---|---|---|---|---|
| DMLR | 2025 | 13 | 0.76 | 4.55 | 84.62% | 18.18% | |
| DMLR | 2024 | 27 | 0.71 | 4.4 | 92.59% | 56.0% |