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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 76–100 of 268 papers

TitleStatusHype
Contributions to the Improvement of Question Answering Systems in the Biomedical Domain—0
Mixed-initiative Query Rewriting in Conversational Passage Retrieval—0
Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question AnsweringCode0
Confidence-Calibrated Ensemble Dense Phrase Retrieval—0
MiniLLM: Knowledge Distillation of Large Language ModelsCode2
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
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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