Dense Retrieval on FiQA (NDCG@10, Recall@20)
0.524NDCG@10OPERA Dynamic Pruning (DP)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| OPERA Dynamic Pruning (DP)Method Strategy=Dynamic Pruning, Backbone Model=bge-large-en-v1.52026.03 | 0.524 | 63.9 | |
| OPERA Static Pruning (SP)Method Strategy=Static Pruning, Backbone Model=bge-large-en-v1.52026.03 | 0.516 | 63 | |
| Fine-tuned (FT)Method Strategy=Fine-tuned, Backbone Model=bge-large-en-v1.52026.03 | 0.514 | 63.9 | |
| InfoBatch (IB)Method Strategy=InfoBatch, Backbone Model=bge-large-en-v1.52026.03 | 0.514 | 64 | |
| Pretrained (PT)Method Strategy=Pretrained, Backbone Model=bge-large-en-v1.52026.03 | 0.489 | 60.2 |