Splade Cocondenser Ensembledistil

🚀 SPLADE CoCondenser EnsembleDistil

This is a SPLADE model designed for passage retrieval. It offers effective solutions in the field of information retrieval. For more details, you can visit the following links:

• Paper: https://arxiv.org/abs/2205.04733
• Code: https://github.com/naver/splade

✨ Features

• Query and Document Expansion: Utilizes the SPLADE approach for both query and document expansion.
• Bag - of - Words Representation: Adopts a bag - of - words approach for retrieval.
• Knowledge Distillation: Incorporates knowledge distillation techniques.
• Dataset Compatibility: Works well with the MS MARCO dataset.

📚 Documentation

Performance Metrics

Citation

If you use our checkpoint, please cite our work:

@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}
}

📄 License

This project is licensed under the CC BY - NC - SA 4.0 license.