SF-TQA
Reported on 3 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 Processing3 results
- F1· 2022-10-10SOTA41.1best: 68.1 (QAap)
- Hits@1· 2022-10-10SOTA41.2
- P@1· 2022-10-1053.9best: 78.1 (TimeR4)