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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 121–130 of 268 papers

TitleStatusHype
Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive LearningCode0
KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question AnsweringCode0
Open-Domain Conversational Question Answering with Historical AnswersCode0
HYRR: Hybrid Infused Reranking for Passage Retrieval—0
CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion—0
Hyperlink-induced Pre-training for Passage Retrieval of Open-domain Question Answering—0
How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval—0
How to Build Robust FAQ Chatbot with Controllable Question Generator?—0
Biomedical Question Answering via Weighted Neural Network Passage Retrieval—0
How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval?—0
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