SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 268 papers

TitleStatusHype
Generating Multi-Aspect Queries for Conversational Search—0
Generating clickbait spoilers with an ensemble of large language models—0
GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval—0
GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval—0
Grounded and Transparent Response Generation for Conversational Information-Seeking Systems—0
How Can Context Help? Exploring Joint Retrieval of Passage and Personalized Context—0
How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval?—0
How to Build Robust FAQ Chatbot with Controllable Question Generator?—0
How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval—0
Hyperlink-induced Pre-training for Passage Retrieval of Open-domain Question Answering—0
HYRR: Hybrid Infused Reranking for Passage Retrieval—0
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
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
Show:102550
← PrevPage 5 of 6Next →

No leaderboard results yet.