SynTQA (GPT)

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· uses extra data· 2024-09-25
65.2
SOTA
SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA arXiv:2409.16682
Semantic ParsingonWikiTableQuestions
Accuracy (Test)· uses extra data· 2024-09-25
74.4
best: 80.8 (ARTEMIS-DA)
SOTA
SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA arXiv:2409.16682