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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 76100 of 268 papers

TitleStatusHype
T2Ranking: A large-scale Chinese Benchmark for Passage RankingCode1
Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues?Code1
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage RetrievalCode1
Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage RetrievalCode1
Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage RetrievalCode1
CAPSTONE: Curriculum Sampling for Dense Retrieval with Document ExpansionCode0
A Modern Perspective on Query Likelihood with Deep Generative Retrieval ModelsCode0
Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language ModelsCode0
ANTIQUE: A Non-Factoid Question Answering BenchmarkCode0
Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question AnsweringCode0
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage RetrievalCode0
Whispers in Grammars: Injecting Covert Backdoors to Compromise Dense Retrieval SystemsCode0
A Little Bit Is Worse Than None: Ranking with Limited Training DataCode0
Open-Domain Conversational Question Answering with Historical AnswersCode0
Context-Aware Sentence/Passage Term Importance Estimation For First Stage RetrievalCode0
On the Effect of Low-Frequency Terms on Neural-IR ModelsCode0
Passage Retrieval of Polish Texts Using OKAPI BM25 and an Ensemble of Cross EncodersCode0
Expansion via Prediction of Importance with ContextualizationCode0
Mention Memory: incorporating textual knowledge into Transformers through entity mention attentionCode0
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense RetrieversCode0
Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question AnsweringCode0
Collective Relevance Labeling for Passage RetrievalCode0
On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question AnsweringCode0
LLM2KB: Constructing Knowledge Bases using instruction tuned context aware Large Language ModelsCode0
DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search EngineCode0
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