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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 291–300 of 671 papers

TitleStatusHype
MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrievalCode0
LinkTransformer: A Unified Package for Record Linkage with Transformer Language ModelsCode1
Contrastive Feature Masking Open-Vocabulary Vision Transformer—0
Killing two birds with one stone: Can an audio captioning system also be used for audio-text retrieval?—0
UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and MemoryCode1
Towards Fast and Accurate Image-Text Retrieval with Self-Supervised Fine-Grained AlignmentCode1
DLIP: Distilling Language-Image Pre-training—0
Parameter-Efficient Transfer Learning for Remote Sensing Image-Text RetrievalCode1
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE—0
Hybrid Retrieval and Multi-stage Text Ranking Solution at TREC 2022 Deep Learning Track—0
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