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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 101–150 of 268 papers

TitleStatusHype
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
Embedding And Clustering Your Data Can Improve Contrastive Pretraining—0
Preserving Multilingual Quality While Tuning Query Encoder on English Only—0
A Surprisingly Simple yet Effective Multi-Query Rewriting Method for Conversational Passage RetrievalCode0
Grounded and Transparent Response Generation for Conversational Information-Seeking Systems—0
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
Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive LearningCode0
SPLADE-v3: New baselines for SPLADECode0
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
SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question Answering—0
A Multi-level Distillation based Dense Passage Retrieval Model—0
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
GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval—0
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text—0
Strong and Efficient Baselines for Open Domain Conversational Question Answering—0
Topic-DPR: Topic-based Prompts for Dense Passage Retrieval—0
Fine-tuning and aligning question answering models for complex information extraction tasks—0
Silver Retriever: Advancing Neural Passage Retrieval for Polish Question Answering—0
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
Contributions to the Improvement of Question Answering Systems in the Biomedical Domain—0
Mixed-initiative Query Rewriting in Conversational Passage Retrieval—0
Confidence-Calibrated Ensemble Dense Phrase Retrieval—0
Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question AnsweringCode0
Building Extractive Question Answering System to Support Human-AI Health Coaching Model for Sleep Domain—0
Challenging Decoder helps in Masked Auto-Encoder Pre-training for Dense Passage Retrieval—0
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
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