Dense Retrieval on HotpotQA
0.812NDCG@10OPERA Dynamic Pruning (DP)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| OPERA Dynamic Pruning (DP)Method Strategy=Dynamic Pruning, Backbone Model=bge-large-en-v1.52026.03 | 0.812 | 83.8 | |
| Fine-tuned (FT)Method Strategy=Fine-tuned, Backbone Model=bge-large-en-v1.52026.03 | 0.806 | 83.6 | |
| InfoBatch (IB)Method Strategy=InfoBatch, Backbone Model=bge-large-en-v1.52026.03 | 0.806 | 83.5 | |
| OPERA Static Pruning (SP)Method Strategy=Static Pruning, Backbone Model=bge-large-en-v1.52026.03 | 0.803 | 78.1 | |
| Pretrained (PT)Method Strategy=Pretrained, Backbone Model=bge-large-en-v1.52026.03 | 0.79 | 80.7 |