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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 171–180 of 268 papers

TitleStatusHype
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA—0
Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval—0
LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval—0
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting—0
Question Rewriting for Conversational Question Answering—0
R3 : Refined Retriever-Reader pipeline for Multidoc2dial—0
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models—0
Re3val: Reinforced and Reranked Generative Retrieval—0
RE: A Study for Restorable Embeddings—0
Redundancy Localization for the Conversationalization of Unstructured Responses—0
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