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 1–25 of 32 papers

TitleStatusHype
Adapting Language Models to Compress ContextsCode2
Document Expansion by Query PredictionCode2
Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-RankingCode1
Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-EncodersCode1
Multi-Granularity Guided Fusion-in-DecoderCode1
T2Ranking: A large-scale Chinese Benchmark for Passage RankingCode1
Few-shot Reranking for Multi-hop QA via Language Model PromptingCode1
HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer RerankingCode1
Dealing with Typos for BERT-based Passage Retrieval and RankingCode1
Fast Passage Re-ranking with Contextualized Exact Term Matching and Efficient Passage ExpansionCode1
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
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-rankingCode0
A Modern Perspective on Query Likelihood with Deep Generative Retrieval ModelsCode0
Exploiting Sentence-Level Representations for Passage RankingCode0
Text-to-Text Multi-view Learning for Passage Re-ranking—0
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT RankersCode0
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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