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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 226–250 of 268 papers

TitleStatusHype
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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