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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 31–40 of 268 papers

TitleStatusHype
Query-as-context Pre-training for Dense Passage RetrievalCode1
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single TransformerCode1
Cross-document Event Coreference Search: Task, Dataset and ModelingCode1
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale RetrievalCode1
ConTextual Masked Auto-Encoder for Dense Passage RetrievalCode1
Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage RetrievalCode1
Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query GenerationCode1
ZusammenQA: Data Augmentation with Specialized Models for Cross-lingual Open-retrieval Question Answering SystemCode1
Optimizing Test-Time Query Representations for Dense RetrievalCode1
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative TrainingCode1
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