SOTAVerified

Passage Re-Ranking

Passage re-ranking is the task of scoring and re-ranking a collection of retrieved documents based on an input query.

Papers

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Showing 11–20 of 32 papers

TitleStatusHype
Mitigating the Position Bias of Transformer Models in Passage Re-RankingCode1
Passage Re-ranking with BERTCode1
Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankersCode0
Re-Ranking Step by Step: Investigating Pre-Filtering for Re-Ranking with Large Language Models—0
Efficient Document Ranking with Learnable Late Interactions—0
PaRaDe: Passage Ranking using Demonstrations with Large Language Models—0
Improving Conversational Passage Re-ranking with View EnsembleCode0
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking—0
Quality and Cost Trade-offs in Passage Re-ranking Task—0
Towards Robust Passage Re-Ranking Model by Mitigating Lexical Match Bias—0
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All datasetsMS MARCOTREC-PM

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HLATRMRR0.42—Unverified
2BERT + Doc2queryMRR0.37—Unverified
3BERT + Small TrainingMRR0.36—Unverified
4Duet v2MRR0.25—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT + Doc2querymAP36.5—Unverified