Dater

Reported on 3 benchmarks across 2 tasks · 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 Processing3 results

Semantic ParsingonWikiTableQuestions
Accuracy (Test)· 2023-01-31
65.9
best: 80.8 (ARTEMIS-DA)
SOTA
Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning arXiv:2301.13808
Table-based Fact VerificationonTabFact
Test· 2023-01-31
93
best: 93.1 (ARTEMIS-DA)
SOTA
Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning arXiv:2301.13808
Semantic ParsingonWikiTableQuestions
Accuracy (Dev)· 2023-01-31
64.8
best: 65 (Binder)
Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning arXiv:2301.13808