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 1–10 of 32 papers

TitleStatusHype
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
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
PaRaDe: Passage Ranking using Demonstrations with Large Language Models—0
Adapting Language Models to Compress ContextsCode2
Improving Conversational Passage Re-ranking with View EnsembleCode0
T2Ranking: A large-scale Chinese Benchmark for Passage RankingCode1
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All datasetsMS MARCOTREC-PM

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BERT + Doc2querymAP36.5—Unverified