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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 176–200 of 268 papers

TitleStatusHype
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
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
Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval—0
Dense Passage Retrieval: Is it Retrieving?—0
Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering—0
Revisiting Iterative Relevance Feedback for Document and Passage Retrieval—0
Revisiting the Roles of “Text” in Text Games—0
Revisiting the Roles of "Text" in Text Games—0
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?—0
Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented Generation—0
Tackling Query-Focused Summarization as A Knowledge-Intensive Task: A Pilot Study—0
Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval—0
Silver Retriever: Advancing Neural Passage Retrieval for Polish Question Answering—0
Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval—0
TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions—0
Sparsifying Sparse Representations for Passage Retrieval by Top-k Masking—0
SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question Answering—0
Strong and Efficient Baselines for Open Domain Conversational Question Answering—0
Supporting search engines with knowledge and context—0
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