FastQAExt

Reported on 4 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing4 results

Question AnsweringonNewsQA
EM· uses extra data· 2017-03-14
43.7
best: 92.52 (OpenAI/o3-2025-01-31-high)
Making Neural QA as Simple as Possible but not Simpler arXiv:1703.04816
Question AnsweringonNewsQA
F1· uses extra data· 2017-03-14
56.1
best: 94.01 (Riple/Saanvi-v0.5-DeepAnalysis)
Making Neural QA as Simple as Possible but not Simpler arXiv:1703.04816
Question AnsweringonSQuAD1.1
EM· 2017-03-14
70.849
best: 90.622 ({ANNA} (single model))
Making Neural QA as Simple as Possible but not Simpler arXiv:1703.04816
Question AnsweringonSQuAD1.1
F1· 2017-03-14
78.857
best: 95.719 ({ANNA} (single model))
Making Neural QA as Simple as Possible but not Simpler arXiv:1703.04816