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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 151–175 of 268 papers

TitleStatusHype
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering—0
KGI: An Integrated Framework for Knowledge Intensive Language Tasks—0
How Different are Pre-trained Transformers for Text Ranking?Code0
CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with TyposCode1
Implicit Feedback for Dense Passage Retrieval: A Counterfactual ApproachCode0
DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine—0
Clickbait Spoiling via Question Answering and Passage RetrievalCode1
Augmenting Document Representations for Dense Retrieval with Interpolation and PerturbationCode1
Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question AnsweringCode1
Multi-CPR: A Multi Domain Chinese Dataset for Passage RetrievalCode2
Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints during TrainingCode1
SGPT: GPT Sentence Embeddings for Semantic SearchCode2
Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models—0
Revisiting the Roles of “Text” in Text Games—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering—0
PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document RetrievalCode1
Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering—0
Sparsifying Sparse Representations for Passage Retrieval by Top-k Masking—0
Unsupervised Dense Information Retrieval with Contrastive LearningCode1
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
Large Dual Encoders Are Generalizable RetrieversCode1
Tackling Query-Focused Summarization as A Knowledge-Intensive Task: A Pilot Study—0
Conversational Search with Mixed-Initiative -- Asking Good Clarification Questions backed-up by Passage Retrieval—0
Densifying Sparse Representations for Passage Retrieval by Representational SlicingCode1
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