DrQA + seq2seq with copy attention (single model)
Reported on 3 benchmarks across 1 task · 1 paper · 3 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing3 results
- In-domain· 2018-08-21SOTA67best: 82.5 (BERT Large Augmented (single model))
- Out-of-domain· 2018-08-21SOTA60.4best: 77.6 (BERT Large Augmented (single model))
- Overall· 2018-08-21SOTA65.1best: 85 (GPT-3 175B (few-shot, k=32))