SPLADE-v3: New baselines for SPLADE

Fuente: arXiv
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Auteurs principaux: Lassance, Carlos, Déjean, Hervé, Formal, Thibault, Clinchant, Stéphane
Format: Preprint
Publié: 2024
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author Lassance, Carlos
Déjean, Hervé
Formal, Thibault
Clinchant, Stéphane
author_facet Lassance, Carlos
Déjean, Hervé
Formal, Thibault
Clinchant, Stéphane
contents A companion to the release of the latest version of the SPLADE library. We describe changes to the training structure and present our latest series of models -- SPLADE-v3. We compare this new version to BM25, SPLADE++, as well as re-rankers, and showcase its effectiveness via a meta-analysis over more than 40 query sets. SPLADE-v3 further pushes the limit of SPLADE models: it is statistically significantly more effective than both BM25 and SPLADE++, while comparing well to cross-encoder re-rankers. Specifically, it gets more than 40 MRR@10 on the MS MARCO dev set, and improves by 2% the out-of-domain results on the BEIR benchmark.
format Preprint
id arxiv_https___arxiv_org_abs_2403_06789
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle SPLADE-v3: New baselines for SPLADE
Lassance, Carlos
Déjean, Hervé
Formal, Thibault
Clinchant, Stéphane
Information Retrieval
Computation and Language
A companion to the release of the latest version of the SPLADE library. We describe changes to the training structure and present our latest series of models -- SPLADE-v3. We compare this new version to BM25, SPLADE++, as well as re-rankers, and showcase its effectiveness via a meta-analysis over more than 40 query sets. SPLADE-v3 further pushes the limit of SPLADE models: it is statistically significantly more effective than both BM25 and SPLADE++, while comparing well to cross-encoder re-rankers. Specifically, it gets more than 40 MRR@10 on the MS MARCO dev set, and improves by 2% the out-of-domain results on the BEIR benchmark.
title SPLADE-v3: New baselines for SPLADE
topic Information Retrieval
Computation and Language
url https://arxiv.org/abs/2403.06789