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SotA/Natural Language Processing/Semantic Parsing/WikiTableQuestions

Semantic Parsing on WikiTableQuestions

Metric: Accuracy (Dev) (higher is better)

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#Model↕Accuracy (Dev)▼Extra DataPaperDate↕Code
1Binder65NoBinding Language Models in Symbolic Languages2022-10-06Code
2Dater64.8NoLarge Language Models are Versatile Decomposers:...2023-01-31Code
3LEVER64.6NoLEVER: Learning to Verify Language-to-Code Gener...2023-02-16Code
4OmniTab-Large62.5NoOmniTab: Pretraining with Natural and Synthetic ...2022-07-08Code
5ReasTAP-Large59.7NoReasTAP: Injecting Table Reasoning Skills During...2022-10-22Code
6TAPEX-Large57NoTAPEX: Table Pre-training via Learning a Neural ...2021-07-16Code
7MAPO + TABERTLarge (K = 3)52.2NoTaBERT: Pretraining for Joint Understanding of T...2020-05-17Code
8T5-3b(UnifiedSKG)50.65NoUnifiedSKG: Unifying and Multi-Tasking Structure...2022-01-16Code
9Structured Attention43.7NoLearning Semantic Parsers from Denotations with ...2019-09-09Code