rotowire is a state-of-the-art machine learning benchmark indexed on Codesota. This page tracks published model results, top scores per metric, and the SOTA timeline for rotowire.
Content Selection F1 is the reported evaluation metric for rotowire. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.
Higher is better
| Rank | Model | Trust | Score | Year | Links | Fix |
|---|---|---|---|---|---|---|
| 01 | HierarchicalEncoder + NR + IR | verified | 55.88 | 2021 | Paper ↗Code ↗ | Looks wrong? |
Content Ordering is the reported evaluation metric for rotowire. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.
Higher is better
| Rank | Model | Trust | Score | Year | Links | Fix |
|---|---|---|---|---|---|---|
| 01 | HierarchicalEncoder + NR + IR | verified | 25.3 | 2021 | Paper ↗Code ↗ | Looks wrong? |
Bleu is the reported evaluation metric for rotowire. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.
Higher is better
| Rank | Model | Trust | Score | Year | Links | Fix |
|---|---|---|---|---|---|---|
| 01 | HierarchicalEncoder + NR + IR | verified | 17.96 | 2021 | Paper ↗Code ↗ | Looks wrong? |