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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 241–250 of 268 papers

TitleStatusHype
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval—0
PAQA: Toward ProActive Open-Retrieval Question Answering—0
Passage Segmentation of Documents for Extractive Question Answering—0
Preserving Multilingual Quality While Tuning Query Encoder on English Only—0
Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval—0
Pseudo-Relevance Feedback Can Improve Zero-Shot LLM-Based Dense Retrieval—0
Query pipeline optimization for cancer patient question answering systems—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
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