prithivida
/

Splade_PP_en_v1

document-expansion

sparse representation

passage-retrieval

knowledge-distillation

document encoder

Inference Endpoints

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prithivida commited on Feb 19, 2024

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 This work stands on the shoulders of 2 robust researches: [Naver's From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective paper](https://arxiv.org/pdf/2205.04733.pdf) and [Google's SparseEmbed](https://storage.googleapis.com/gweb-research2023-media/pubtools/pdf/79f16d3b3b948706d191a7fe6dd02abe516f5564.pdf).
 Props to both the teams for such a robust work.
-## 1. What is a Sparse Representations and Why learn one?
 **Beginner ?** expand this. **Expert in Sparse & Dense representations ?** feel free skip to next section 2,

 This work stands on the shoulders of 2 robust researches: [Naver's From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective paper](https://arxiv.org/pdf/2205.04733.pdf) and [Google's SparseEmbed](https://storage.googleapis.com/gweb-research2023-media/pubtools/pdf/79f16d3b3b948706d191a7fe6dd02abe516f5564.pdf).
 Props to both the teams for such a robust work.
+## 1. What are Sparse Representations and Why learn one?
 **Beginner ?** expand this. **Expert in Sparse & Dense representations ?** feel free skip to next section 2,