Model card
FactJointGT.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark FactJointGT has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | dart | Computer Vision · Optical Character Recognition | factspotter | 97.3% | #2 | 2023-10-25 | source ↗ |
| 02 | dart | Computer Vision · Optical Character Recognition | bert | 0.9% | #3 | 2023-10-25 | source ↗ |
| 03 | dart | Computer Vision · Optical Character Recognition | bleu | 47.4% | #4 | 2023-10-25 | source ↗ |
| 04 | dart | Computer Vision · Optical Character Recognition | bleurt | 0.7% | #4 | 2023-10-25 | source ↗ |
| 05 | dart | Computer Vision · Optical Character Recognition | meteor | 0.4% | #4 | 2023-10-25 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Papers
1 paper with results for FactJointGT.
- 2023-10-25· Computer Vision· 5 results
FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation
§ 04 · Related models
Other Unknown models scored on Codesota.
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WordSup (VGG16-synth-coco)
Unknown params · 3 results
§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
5
results
5 of 5 rows marked verified.