Run
RanxHub ID: | msmarco-passage/trec-dl-2019/ranxhub/slim++ |
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Version: | 1.0 |
Description: | SLIM++ run reproduced using Pyserini. |
Tags: | Retrieval |
Date: | 25 May 2023 |
Run Authors: | Elias Bassani |
From Paper: | |
Paper Authors: |
Model
Name: | SLIM++ |
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Description: | SLIM maps each contextualized token vector to a sparse, high-dimensional lexical space before performing late interaction between sparse token embeddings. It employs a two-stage retrieval architecture that includes inverted index retrieval followed by a score refinement module to approximate the sparsified late interaction, which is fully compatible with off-the-shelf lexical search libraries such as Lucene. SLIM++ enhances SLIM with cross-encoder distillation and hard negative mining. |
Tags: | BERT · Knowledge Distillation · Late Interactions · Sparse Representations |
Paper: | SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes |
Authors: | Minghan Li · Sheng-Chieh Lin · Xueguang Ma · Jimmy Lin |
Results
NDCG@10 | MAP@1000 | Recall@1000 |
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0.714007207425965 | 0.46872873483541133 | 0.8415337525361667 |