metadata
license: cc-by-nc-sa-4.0
language: en
tags:
- splade
- query-expansion
- document-expansion
- bag-of-words
- passage-retrieval
- knowledge-distillation
- document encoder
datasets:
- ms_marco
Efficient SPLADE
Efficient SPLADE model for passage retrieval. For additional details, please visit:
- paper:
- code: https://github.com/naver/splade
| MRR@10 (MS MARCO dev) | R@1000 (MS MARCO dev) | Latency (PISA) ms | Latency (Inference) ms | |
|---|---|---|---|---|
naver/efficient-splade-V-large |
38.8 | 98.0 | 29.0 | 45.3 |
naver/efficient-splade-VI-BT-large |
38.0 | 97.8 | 31.1 | 0.7 |
Citation
If you use our checkpoint, please cite our work (need to update):
@misc{https://doi.org/10.48550/arxiv.2205.04733,
doi = {10.48550/ARXIV.2205.04733},
url = {https://arxiv.org/abs/2205.04733},
author = {Formal, Thibault and Lassance, Carlos and Piwowarski, Benjamin and Clinchant, Stéphane},
keywords = {Information Retrieval (cs.IR), Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution Non Commercial Share Alike 4.0 International}
}