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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 201250 of 268 papers

TitleStatusHype
Supporting search engines with knowledge and context0
SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval0
Synthetic Target Domain Supervision for Open Retrieval QA0
The Answer is at your Fingertips: Improving Passage Retrieval for Web Question Answering with Search Behavior Data0
Time-Reversal Provides Unsupervised Feedback to LLMs0
Topic-DPR: Topic-based Prompts for Dense Passage Retrieval0
Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning0
Towards Robust Ranker for Text Retrieval0
Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering0
UGent-T2K at the 2nd DialDoc Shared Task: A Retrieval-Focused Dialog System Grounded in Multiple Documents0
UnifieR: A Unified Retriever for Large-Scale Retrieval0
What are the limits of cross-lingual dense passage retrieval for low-resource languages?0
WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval0
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering0
Zero-shot Event Causality Identification with Question Answering0
Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation0
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
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval0
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
Open-Domain Conversational Question Answering with Historical AnswersCode0
A Modern Perspective on Query Likelihood with Deep Generative Retrieval ModelsCode0
On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question AnsweringCode0
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT RankersCode0
On the Effect of Low-Frequency Terms on Neural-IR ModelsCode0
Mention Memory: incorporating textual knowledge into Transformers through entity mention attentionCode0
Top K Relevant Passage Retrieval for Biomedical Question AnsweringCode0
Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response GenerationCode0
LLM2KB: Constructing Knowledge Bases using instruction tuned context aware Large Language ModelsCode0
KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question AnsweringCode0
Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive LearningCode0
Passage Retrieval of Polish Texts Using OKAPI BM25 and an Ensemble of Cross EncodersCode0
Collective Relevance Labeling for Passage RetrievalCode0
Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language ModelsCode0
Implicit Feedback for Dense Passage Retrieval: A Counterfactual ApproachCode0
Hybrid and Collaborative Passage RerankingCode0
VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case LawCode0
Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question AnsweringCode0
WatClaimCheck: A new Dataset for Claim Entailment and InferenceCode0
Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question AnsweringCode0
How Different are Pre-trained Transformers for Text Ranking?Code0
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language ModelsCode0
Grounding Fallacies Misrepresenting Scientific Publications in EvidenceCode0
Query Performance Prediction for Neural IR: Are We There Yet?Code0
GenKI: Enhancing Open-Domain Question Answering with Knowledge Integration and Controllable Generation in Large Language ModelsCode0
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