pubtabnet 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 pubtabnet.
Teds Struct is the reported evaluation metric for pubtabnet. 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 | TFLOP | verified | 98.38 | 2025 | Paper ↗ | Looks wrong? |
| 02 | UniTable Large | verified | 97.89 | 2024 | Paper ↗Code ↗ | Looks wrong? |
| 03 | Multi-Task Learning Model | verified | 97.88 | 2023 | Paper ↗Code ↗ | Looks wrong? |
| 04 | TABLET | verified | 97.67 | 2025 | Paper ↗ | Looks wrong? |
| 05 | UniTabNet | verified | 97.5 | 2024 | Paper ↗ | Looks wrong? |
| 06 | TSRFormer | verified | 97.5 | 2022 | Paper ↗ | Looks wrong? |
| 07 | SEMv3 | verified | 97.5 | 2024 | Paper ↗ | Looks wrong? |
| 08 | TRUST | verified | 97.1 | 2022 | Paper ↗ | Looks wrong? |
| 09 | SLANet | verified | 97.01 | 2022 | Paper ↗Code ↗ | Looks wrong? |
| 10 | GridFormer | verified | 97 | 2023 | Paper ↗ | Looks wrong? |
| 11 | RTSR | verified | 97 | 2022 | Paper ↗ | Looks wrong? |
| 12 | LGPMA | verified | 96.7 | 2021 | Paper ↗Code ↗ | Looks wrong? |
| 13 | SPRINT | verified | 95.71 | 2025 | Paper ↗Code ↗ | Looks wrong? |
| 14 | TabStruct-Net | verified | 90.1 | 2020 | Paper ↗Code ↗ | Looks wrong? |
Teds All Samples is the reported evaluation metric for pubtabnet. 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 | SEMv3 | verified | 97.3 | 2024 | Paper ↗ | Looks wrong? |
| 02 | MuTabNet | verified | 96.87 | 2024 | Paper ↗Code ↗ | Looks wrong? |
| 03 | TABLET | verified | 96.79 | 2025 | Paper ↗ | Looks wrong? |
| 04 | TableMaster | verified | 96.76 | 2021 | Paper ↗Code ↗ | Looks wrong? |
| 05 | Multi-Task Learning Model | verified | 96.67 | 2023 | Paper ↗Code ↗ | Looks wrong? |
| 06 | TFLOP | verified | 96.66 | 2025 | Paper ↗ | Looks wrong? |
| 07 | ConvStem | verified | 96.53 | 2023 | Paper ↗Code ↗ | Looks wrong? |
| 08 | UniTable Large | verified | 96.5 | 2024 | Paper ↗Code ↗ | Looks wrong? |
| 09 | SLANet | verified | 96.3 | 2022 | Paper ↗Code ↗ | Looks wrong? |
| 10 | TRUST | verified | 96.2 | 2022 | Paper ↗ | Looks wrong? |
| 11 | GridFormer | verified | 95.84 | 2023 | Paper ↗ | Looks wrong? |
| 12 | NCGM | verified | 95.4 | 2021 | Paper ↗ | Looks wrong? |
| 13 | LGPMA | verified | 94.6 | 2021 | Paper ↗Code ↗ | Looks wrong? |
| 14 | SEM | verified | 93.7 | 2021 | Paper ↗ | Looks wrong? |
| 15 | TabStruct-Net | verified | 90.1 | 2020 | Paper ↗Code ↗ | Looks wrong? |
| 16 | EDD | verified | 88.3 | 2019 | Paper ↗Code ↗ | Looks wrong? |