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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

Showing 151200 of 268 papers

TitleStatusHype
Improve Dense Passage Retrieval with Entailment Tuning0
Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model0
PolQA: Polish Question Answering Dataset0
Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match0
Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy0
Joint Passage Ranking for Diverse Multi-Answer Retrieval0
JUST.ASK, a QA system that learns to answer new questions from previous interactions0
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering0
KGI: An Integrated Framework for Knowledge Intensive Language Tasks0
Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain0
Learning Representations for Zero-Shot Retrieval over Structured Data0
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA0
Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval0
LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval0
LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarization0
Making Information Seeking Easier: An Improved Pipeline for Conversational Search0
MAUPQA: Massive Automatically-created Polish Question Answering Dataset0
MIA 2022 Shared Task Submission: Leveraging Entity Representations, Dense-Sparse Hybrids, and Fusion-in-Decoder for Cross-Lingual Question Answering0
Optimized Quran Passage Retrieval Using an Expanded QA Dataset and Fine-Tuned Language Models0
Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models0
PAQA: Toward ProActive Open-Retrieval Question Answering0
Passage Segmentation of Documents for Extractive Question Answering0
Preserving Multilingual Quality While Tuning Query Encoder on English Only0
Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval0
Pseudo-Relevance Feedback Can Improve Zero-Shot LLM-Based Dense Retrieval0
Query pipeline optimization for cancer patient question answering systems0
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting0
Question Rewriting for Conversational Question Answering0
R3 : Refined Retriever-Reader pipeline for Multidoc2dial0
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models0
Re3val: Reinforced and Reranked Generative Retrieval0
RE: A Study for Restorable Embeddings0
Redundancy Localization for the Conversationalization of Unstructured Responses0
Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval0
Dense Passage Retrieval: Is it Retrieving?0
Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering0
Revisiting Iterative Relevance Feedback for Document and Passage Retrieval0
Revisiting the Roles of “Text” in Text Games0
Revisiting the Roles of "Text" in Text Games0
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?0
Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented Generation0
Tackling Query-Focused Summarization as A Knowledge-Intensive Task: A Pilot Study0
Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval0
Silver Retriever: Advancing Neural Passage Retrieval for Polish Question Answering0
Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval0
TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions0
Sparsifying Sparse Representations for Passage Retrieval by Top-k Masking0
SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question Answering0
Strong and Efficient Baselines for Open Domain Conversational Question Answering0
Supporting search engines with knowledge and context0
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