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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 226–250 of 268 papers

TitleStatusHype
LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarization—0
Making Information Seeking Easier: An Improved Pipeline for Conversational Search—0
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers—0
MAUPQA: Massive Automatically-created Polish Question Answering Dataset—0
MIA 2022 Shared Task Submission: Leveraging Entity Representations, Dense-Sparse Hybrids, and Fusion-in-Decoder for Cross-Lingual Question Answering—0
Mind the Gap: A Generalized Approach for Cross-Modal Embedding Alignment—0
Modeling Multi-hop Question Answering as Single Sequence Prediction—0
Modeling Multi-hop Question Answering as Single Sequence Prediction—0
Multilingual Open QA on the MIA Shared Task—0
Multi-stage Training of Bilingual Islamic LLM for Neural Passage Retrieval—0
Multi-stage Training with Improved Negative Contrast for Neural Passage Retrieval—0
Multi-Vector Attention Models for Deep Re-ranking—0
Neural Passage Retrieval with Improved Negative Contrast—0
Optimized Quran Passage Retrieval Using an Expanded QA Dataset and Fine-Tuned Language Models—0
Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models—0
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval—0
PAQA: Toward ProActive Open-Retrieval Question Answering—0
Passage Segmentation of Documents for Extractive Question Answering—0
Preserving Multilingual Quality While Tuning Query Encoder on English Only—0
Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval—0
Pseudo-Relevance Feedback Can Improve Zero-Shot LLM-Based Dense Retrieval—0
Query pipeline optimization for cancer patient question answering systems—0
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting—0
Question Rewriting for Conversational Question Answering—0
R3 : Refined Retriever-Reader pipeline for Multidoc2dial—0
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