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Text Retrieval

Text Retrieval is the task of finding the most text result (such as an answer, paragraph, or passage) given a query (which could be a question, keywords, or any relevant text)

Papers

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Showing 271–280 of 671 papers

TitleStatusHype
On Using GUI Interaction Data to Improve Text Retrieval-based Bug LocalizationCode0
OTE: Exploring Accurate Scene Text Recognition Using One TokenCode0
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional ExpertsCode0
CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectivesCode0
NAPReg: Nouns As Proxies Regularization for Semantically Aware Cross-Modal EmbeddingsCode0
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text RetrievalCode0
Multi-stage Pre-training over Simplified Multimodal Pre-training ModelsCode0
MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrievalCode0
Neurocache: Efficient Vector Retrieval for Long-range Language ModelingCode0
Multimodal Hypothetical Summary for Retrieval-based Multi-image Question AnsweringCode0
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