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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

Showing 7180 of 268 papers

TitleStatusHype
Densifying Sparse Representations for Passage Retrieval by Representational SlicingCode1
Large Dual Encoders Are Generalizable RetrieversCode1
LePaRD: A Large-Scale Dataset of Judges Citing PrecedentsCode1
Leveraging Passage Retrieval with Generative Models for Open Domain Question AnsweringCode1
Optimized Text Embedding Models and Benchmarks for Amharic Passage RetrievalCode1
Embedding-based Zero-shot Retrieval through Query GenerationCode1
Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues?Code1
Query Encoder Distillation via Embedding Alignment is a Strong Baseline Method to Boost Dense Retriever Online EfficiencyCode1
Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage RetrievalCode1
ZusammenQA: Data Augmentation with Specialized Models for Cross-lingual Open-retrieval Question Answering SystemCode1
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