Answer Selection On Asnq
Metrics
MAP
MRR
Results
Performance results of various models on this benchmark
Model Name | MAP | MRR | Paper Title | Repository |
|---|---|---|---|---|
| ELECTRA-Base + SSP | 0.697 | 0.757 | Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection | - |
| DeBERTa-V3-Large + SSP | 0.743 | 0.800 | Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection | - |
| RoBERTa-Base Joint MSPP | 0.673 | 0.737 | Paragraph-based Transformer Pre-training for Multi-Sentence Inference |
0 of 3 row(s) selected.