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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 91–100 of 268 papers

TitleStatusHype
Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and Beyond—0
CoT-MoTE: Exploring ConTextual Masked Auto-Encoder Pre-training with Mixture-of-Textual-Experts for Passage Retrieval—0
Generalized Weak Supervision for Neural Information Retrieval—0
T2Ranking: A large-scale Chinese Benchmark for Passage RankingCode1
Noise-Robust Dense Retrieval via Contrastive Alignment Post Training—0
Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering—0
CoT-MAE v2: Contextual Masked Auto-Encoder with Multi-view Modeling for Passage Retrieval—0
Can a Frozen Pretrained Language Model be used for Zero-shot Neural Retrieval on Entity-centric Questions?—0
Query Performance Prediction for Neural IR: Are We There Yet?Code0
How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval—0
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