Tab-PoT

Reported on 2 benchmarks across 2 tasks · 1 paper

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 (Test)· 2024-06-14
66.78
best: 80.8 (ARTEMIS-DA)
Efficient Prompting for LLM-based Generative Internet of Things arXiv:2406.10382
Table-based Fact VerificationonTabFact
Test· 2024-06-14
85.77
best: 93.1 (ARTEMIS-DA)
Efficient Prompting for LLM-based Generative Internet of Things arXiv:2406.10382