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Models/FiE

FiE

Reported on 7 benchmarks across 2 tasks · 2 papers · 3 SOTA

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

Natural Language Processing7 results

Question AnsweringonNatural Questions
EM· 2021-08-17
58.4
best: 64 (Atlas (full, Wiki-dec-2018 index))
SOTA
0.8% Nyquist computational ghost imaging via non-experimental deep learning arXiv:2108.07673
Question AnsweringonNatural Questions
Exact Match· 2021-08-17
58.4
SOTA
0.8% Nyquist computational ghost imaging via non-experimental deep learning arXiv:2108.07673
Open-Domain Question AnsweringonNatural Questions
Exact Match· 2021-08-17
58.4
SOTA
0.8% Nyquist computational ghost imaging via non-experimental deep learning arXiv:2108.07673
Question AnsweringonWebQuestions
EM· 2022-11-18
52.4
best: 84.6 (PoG-GPT4 (Tan et al., 2024))
FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering arXiv:2211.10147
Question AnsweringonWebQuestions
Exact Match· 2022-11-18
52.4
best: 57.7 (UniK-QA)
FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering arXiv:2211.10147
Open-Domain Question AnsweringonWebQuestions
Exact Match· 2022-11-18
52.4
best: 57.7 (UniK-QA)
FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering arXiv:2211.10147
Question AnsweringonNatural Questions (long)
EM· 2021-08-17
58.4
best: 71.9 (DensePhrases)
0.8% Nyquist computational ghost imaging via non-experimental deep learning arXiv:2108.07673