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Computer Science > Information Retrieval

arXiv:2403.06789 (cs)
[Submitted on 11 Mar 2024]

Title:SPLADE-v3: New baselines for SPLADE

Authors:Carlos Lassance, Hervé Déjean, Thibault Formal, Stéphane Clinchant
View a PDF of the paper titled SPLADE-v3: New baselines for SPLADE, by Carlos Lassance and 3 other authors
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Abstract: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.
Comments: Technical report
Subjects: Information Retrieval (cs.IR); Computation and Language (cs.CL)
Cite as: arXiv:2403.06789 [cs.IR]
  (or arXiv:2403.06789v1 [cs.IR] for this version)
  https://doi.org/10.48550/arXiv.2403.06789
arXiv-issued DOI via DataCite

Submission history

From: Stéphane Clinchant [view email]
[v1] Mon, 11 Mar 2024 15:04:55 UTC (3,127 KB)
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