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Passage Ranking

Papers

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Showing 1–50 of 73 papers

TitleStatusHype
Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language ModelsCode2
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsCode2
HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer RerankingCode1
Adaptive Re-Ranking with a Corpus GraphCode1
TU Wien @ TREC Deep Learning '19 -- Simple Contextualization for Re-rankingCode1
Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge DistillationCode1
CROWN: Conversational Passage Ranking by Reasoning over Word NetworksCode1
T2Ranking: A large-scale Chinese Benchmark for Passage RankingCode1
IRanker: Towards Ranking Foundation ModelCode1
Dealing with Typos for BERT-based Passage Retrieval and RankingCode1
Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language ModelsCode1
Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking ModelsCode1
On Approximate Nearest Neighbour Selection for Multi-Stage Dense RetrievalCode1
Learning to Rank in Generative RetrievalCode1
Document Ranking with a Pretrained Sequence-to-Sequence ModelCode1
RepBERT: Contextualized Text Embeddings for First-Stage RetrievalCode1
Query Embedding Pruning for Dense RetrievalCode1
Pseudo-Relevance Feedback for Multiple Representation Dense RetrievalCode1
Text and Code Embeddings by Contrastive Pre-TrainingCode1
mMARCO: A Multilingual Version of the MS MARCO Passage Ranking DatasetCode1
Conversational Question Answering over Passages by Leveraging Word Proximity NetworksCode1
IRLab@iKAT24: Learned Sparse Retrieval with Multi-aspect LLM Query Generation for Conversational Search—0
Joint Passage Ranking for Diverse Multi-Answer Retrieval—0
Making Information Seeking Easier: An Improved Pipeline for Conversational Search—0
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval—0
Measuring Bias in a Ranked List using Term-based Representations—0
Mining Implicit Relevance Feedback from User Behavior for Web Question Answering—0
Vector Search with OpenAI Embeddings: Lucene Is All You Need—0
A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques—0
A Neural Comprehensive Ranker (NCR) for Open-Domain Question Answering—0
A Passage-Based Approach to Learning to Rank Documents—0
Approximate Cluster-Based Sparse Document Retrieval with Segmented Maximum Term Weights—0
A Self-supervised Joint Training Framework for Document Reranking—0
A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context—0
AWS CORD-19 Search: A Neural Search Engine for COVID-19 Literature—0
Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems—0
Content-based Models of Quotation—0
Context Aware Query Rewriting for Text Rankers using LLM—0
Contrastive Fine-tuning Improves Robustness for Neural Rankers—0
Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering—0
Cross-Lingual Training of Dense Retrievers for Document Retrieval—0
Cross-Lingual Training with Dense Retrieval for Document Retrieval—0
GenQREnsemble: Zero-Shot LLM Ensemble Prompting for Generative Query Reformulation—0
GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking—0
How Does Generative Retrieval Scale to Millions of Passages?—0
Hybrid Retrieval and Multi-stage Text Ranking Solution at TREC 2022 Deep Learning Track—0
Improving Passage Re-Ranking with Word N-Gram Aware Coattention Encoder—0
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks—0
PaRaDe: Passage Ranking using Demonstrations with Large Language Models—0
Passage Query Methods for Retrieval and Reranking in Conversational Agents—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fine-tuned SOTAMRR@1044.3—Unverified
2cpt-text XLMRR@1022.7—Unverified
3cpt-text LMRR@1021.5—Unverified
4BM25MRR@1018.4—Unverified