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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 111–120 of 268 papers

TitleStatusHype
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering—0
Mixed-initiative Query Rewriting in Conversational Passage Retrieval—0
JUST.ASK, a QA system that learns to answer new questions from previous interactions—0
KGI: An Integrated Framework for Knowledge Intensive Language Tasks—0
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
CoT-MoTE: Exploring ConTextual Masked Auto-Encoder Pre-training with Mixture-of-Textual-Experts for Passage Retrieval—0
How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval?—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
Evaluating D-MERIT of Partial-annotation on Information Retrieval—0
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