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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 81–90 of 268 papers

TitleStatusHype
Query Encoder Distillation via Embedding Alignment is a Strong Baseline Method to Boost Dense Retriever Online EfficiencyCode1
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage RetrievalCode1
Building Extractive Question Answering System to Support Human-AI Health Coaching Model for Sleep Domain—0
Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question AnsweringCode1
DAPR: A Benchmark on Document-Aware Passage RetrievalCode1
Challenging Decoder helps in Masked Auto-Encoder Pre-training for Dense Passage Retrieval—0
Query Performance Prediction: From Ad-hoc to Conversational SearchCode1
Hybrid and Collaborative Passage RerankingCode0
KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question AnsweringCode0
MAUPQA: Massive Automatically-created Polish Question Answering Dataset—0
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