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Open Domain Question Answering On Natural
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이 벤치마크에서 각 모델의 성능 결과
| Paper Title | Repository | ||
|---|---|---|---|
| FiE | 58.4 | 0.8% Nyquist computational ghost imaging via non-experimental deep learning | - |
| R2-D2 w HN-DPR | 55.9 | R2-D2: A Modular Baseline for Open-Domain Question Answering | |
| UniK-QA | 54.9 | UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering | |
| UnitedQA (Hybrid) | 54.7 | UnitedQA: A Hybrid Approach for Open Domain Question Answering | - |
| BPR (linear scan; l=1000) | 41.6 | Efficient Passage Retrieval with Hashing for Open-domain Question Answering |
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