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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 1–50 of 268 papers

TitleStatusHype
GenKI: Enhancing Open-Domain Question Answering with Knowledge Integration and Controllable Generation in Large Language ModelsCode0
Optimized Text Embedding Models and Benchmarks for Amharic Passage RetrievalCode1
GuRE:Generative Query REwriter for Legal Passage RetrievalCode1
Batched Self-Consistency Improves LLM Relevance Assessment and Ranking—0
Dense Passage Retrieval in Conversational SearchCode0
Pseudo-Relevance Feedback Can Improve Zero-Shot LLM-Based Dense Retrieval—0
TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions—0
From Retrieval to Generation: Comparing Different Approaches—0
Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented Generation—0
PeerQA: A Scientific Question Answering Dataset from Peer ReviewsCode1
Multi-stage Training of Bilingual Islamic LLM for Neural Passage Retrieval—0
Passage Segmentation of Documents for Extractive Question Answering—0
Multilingual Open QA on the MIA Shared Task—0
Query pipeline optimization for cancer patient question answering systems—0
Optimized Quran Passage Retrieval Using an Expanded QA Dataset and Fine-Tuned Language Models—0
Towards Brain Passage Retrieval -- An Investigation of EEG Query Representations—0
Time-Reversal Provides Unsupervised Feedback to LLMs—0
DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification—0
Mind the Gap: A Generalized Approach for Cross-Modal Embedding Alignment—0
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation GenerationCode2
Deep Learning Based Dense Retrieval: A Comparative Study—0
Improve Dense Passage Retrieval with Entailment Tuning—0
Passage Retrieval of Polish Texts Using OKAPI BM25 and an Ensemble of Cross EncodersCode0
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA—0
A Multimodal Dense Retrieval Approach for Speech-Based Open-Domain Question Answering—0
SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval—0
Grounding Fallacies Misrepresenting Scientific Publications in EvidenceCode0
What are the limits of cross-lingual dense passage retrieval for low-resource languages?—0
FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence SelectionCode1
Embedding And Clustering Your Data Can Improve Contrastive Pretraining—0
BM25S: Orders of magnitude faster lexical search via eager sparse scoringCode5
Preserving Multilingual Quality While Tuning Query Encoder on English Only—0
Grounded and Transparent Response Generation for Conversational Information-Seeking Systems—0
A Surprisingly Simple yet Effective Multi-Query Rewriting Method for Conversational Passage RetrievalCode0
Evaluating D-MERIT of Partial-annotation on Information Retrieval—0
LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarization—0
Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy—0
Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers—0
Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language ModelsCode0
Generating clickbait spoilers with an ensemble of large language models—0
Control Token with Dense Passage Retrieval—0
Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question AnsweringCode0
Generating Multi-Aspect Queries for Conversational Search—0
ArabicaQA: A Comprehensive Dataset for Arabic Question AnsweringCode1
Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive LearningCode0
SPLADE-v3: New baselines for SPLADE—0
PAQA: Toward ProActive Open-Retrieval Question Answering—0
Whispers in Grammars: Injecting Covert Backdoors to Compromise Dense Retrieval SystemsCode0
Dense Passage Retrieval: Is it Retrieving?—0
Re3val: Reinforced and Reranked Generative Retrieval—0
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