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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 251–268 of 268 papers

TitleStatusHype
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
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering—0
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking—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
SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval—0
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