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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
Improve Dense Passage Retrieval with Entailment Tuning—0
Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model—0
PolQA: Polish Question Answering Dataset—0
Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match—0
Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy—0
Joint Passage Ranking for Diverse Multi-Answer Retrieval—0
JUST.ASK, a QA system that learns to answer new questions from previous interactions—0
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering—0
KGI: An Integrated Framework for Knowledge Intensive Language Tasks—0
Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain—0
Learning Representations for Zero-Shot Retrieval over Structured Data—0
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA—0
Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval—0
LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval—0
LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarization—0
Making Information Seeking Easier: An Improved Pipeline for Conversational Search—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
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
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
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