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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 51–100 of 268 papers

TitleStatusHype
SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question Answering—0
Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage RetrievalCode1
A Multi-level Distillation based Dense Passage Retrieval Model—0
RecJPQ: Training Large-Catalogue Sequential RecommendersCode1
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language ModelsCode0
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models—0
Boot and Switch: Alternating Distillation for Zero-Shot Dense RetrievalCode0
LePaRD: A Large-Scale Dataset of Judges Citing PrecedentsCode1
Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional TrainingCode2
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text—0
GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval—0
Strong and Efficient Baselines for Open Domain Conversational Question Answering—0
Fine-Tuning LLaMA for Multi-Stage Text RetrievalCode1
Topic-DPR: Topic-based Prompts for Dense Passage Retrieval—0
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question AnsweringCode2
Fine-tuning and aligning question answering models for complex information extraction tasks—0
Silver Retriever: Advancing Neural Passage Retrieval for Polish Question Answering—0
CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock MarketCode1
How Can Context Help? Exploring Joint Retrieval of Passage and Personalized Context—0
LLM2KB: Constructing Knowledge Bases using instruction tuned context aware Large Language ModelsCode0
Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response GenerationCode0
Answering Ambiguous Questions with a Database of Questions, Answers, and Revisions—0
Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval—0
Top K Relevant Passage Retrieval for Biomedical Question AnsweringCode0
End-to-End Query Term WeightingCode1
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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