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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 101125 of 268 papers

TitleStatusHype
Collective Relevance Labeling for Passage RetrievalCode0
Passage Retrieval of Polish Texts Using OKAPI BM25 and an Ensemble of Cross EncodersCode0
On the Effect of Low-Frequency Terms on Neural-IR ModelsCode0
On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question AnsweringCode0
A Surprisingly Simple yet Effective Multi-Query Rewriting Method for Conversational Passage RetrievalCode0
Duet at TREC 2019 Deep Learning TrackCode0
Open-Domain Conversational Question Answering with Historical AnswersCode0
Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language ModelsCode0
DPTDR: Deep Prompt Tuning for Dense Passage RetrievalCode0
Mention Memory: incorporating textual knowledge into Transformers through entity mention attentionCode0
DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrievalCode0
Do Neural Ranking Models Intensify Gender Bias?Code0
LLM2KB: Constructing Knowledge Bases using instruction tuned context aware Large Language ModelsCode0
Discriminative Information Retrieval for Question Answering Sentence SelectionCode0
Dense Passage Retrieval in Conversational SearchCode0
A Comparison of Question Rewriting Methods for Conversational Passage RetrievalCode0
How Different are Pre-trained Transformers for Text Ranking?Code0
A Modern Perspective on Query Likelihood with Deep Generative Retrieval ModelsCode0
Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive LearningCode0
KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question AnsweringCode0
Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question AnsweringCode0
Boot and Switch: Alternating Distillation for Zero-Shot Dense RetrievalCode0
Implicit Feedback for Dense Passage Retrieval: A Counterfactual ApproachCode0
HYRR: Hybrid Infused Reranking for Passage Retrieval0
CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion0
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