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
Few-shot Reranking for Multi-hop QA via Language Model PromptingCode1
HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer RerankingCode1
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
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking—0
Dealing with Typos for BERT-based Passage Retrieval and RankingCode1
Fast Passage Re-ranking with Contextualized Exact Term Matching and Efficient Passage ExpansionCode1
A Modern Perspective on Query Likelihood with Deep Generative Retrieval ModelsCode0
Exploiting Sentence-Level Representations for Passage RankingCode0
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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