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--- |
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license: cc-by-nc-sa-4.0 |
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language: en |
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tags: |
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- splade |
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- query-expansion |
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- document-expansion |
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- bag-of-words |
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- passage-retrieval |
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- knowledge-distillation |
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datasets: |
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- ms_marco |
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duplicated_from: naver/splade-cocondenser-selfdistil |
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--- |
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## SPLADE CoCondenser SelfDistil |
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SPLADE model for passage retrieval. For additional details, please visit: |
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* paper: https://arxiv.org/abs/2205.04733 |
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* code: https://github.com/naver/splade |
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| | MRR@10 (MS MARCO dev) | R@1000 (MS MARCO dev) | |
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| --- | --- | --- | |
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| `splade-cocondenser-selfdistil` | 37.6 | 98.4 | |
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## Citation |
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If you use our checkpoint, please cite our work: |
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``` |
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@misc{https://doi.org/10.48550/arxiv.2205.04733, |
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doi = {10.48550/ARXIV.2205.04733}, |
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url = {https://arxiv.org/abs/2205.04733}, |
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author = {Formal, Thibault and Lassance, Carlos and Piwowarski, Benjamin and Clinchant, Stéphane}, |
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keywords = {Information Retrieval (cs.IR), Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences}, |
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title = {From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective}, |
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publisher = {arXiv}, |
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year = {2022}, |
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copyright = {Creative Commons Attribution Non Commercial Share Alike 4.0 International} |
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} |
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``` |
