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Passage Retrieval

Passage retrieval is a specialized type of IR application that retrieves relevant passages (or pieces of text) rather than an entire ranked set of documents.

Papers

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Showing 131–140 of 268 papers

TitleStatusHype
Optimizing Test-Time Query Representations for Dense RetrievalCode1
QAMPARI: An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple ParagraphsCode2
UnifieR: A Unified Retriever for Large-Scale Retrieval—0
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative TrainingCode1
ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval—0
Debiasing Neural Retrieval via In-batch Balancing Regularization—0
Modeling Multi-hop Question Answering as Single Sequence Prediction—0
How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval?—0
Collective Relevance Labeling for Passage RetrievalCode0
LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval—0
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