GoldEn Retriever
Reported on 6 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 Processing6 results
- ANS-EM· 2019-10-150.379best: 0.727 (Beam Retrieval)
- ANS-F1· 2019-10-150.486best: 0.85 (Beam Retrieval)
- JOINT-EM· 2019-10-150.18best: 0.505 (Beam Retrieval)
- JOINT-F1· 2019-10-150.391best: 0.775 (Beam Retrieval)
- SUP-EM· 2019-10-150.307best: 0.663 (Beam Retrieval)
- SUP-F1· 2019-10-150.642best: 0.901 (Beam Retrieval)