Run
| RanxHub ID: | msmarco-passage/trec-dl-2019/ranxhub/slim |
|---|---|
| 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 |
|---|---|
| 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. |
| Tags: | Late Interactions · Sparse Representations · BERT |
| 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 |
|---|---|---|
| 0.7009591167340055 | 0.45092329607459053 | 0.8240820187876271 |