OmniTab-Large

Reported on 2 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing2 results

Semantic ParsingonWikiTableQuestions
Accuracy (Dev)· 2022-07-08
62.5
best: 65 (Binder)
SOTA
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering arXiv:2207.03637
Semantic ParsingonWikiTableQuestions
Accuracy (Test)· 2022-07-08
63.3
best: 80.8 (ARTEMIS-DA)
SOTA
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering arXiv:2207.03637