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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 241–250 of 671 papers

TitleStatusHype
OTE: Exploring Accurate Scene Text Recognition Using One TokenCode0
Building Vision-Language Models on Solid Foundations with Masked Distillation—0
Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence RegularizationCode1
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic TasksCode1
ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain RetrievalCode1
Data-Efficient Multimodal Fusion on a Single GPUCode1
Filter & Align: Leveraging Human Knowledge to Curate Image-Text Data—0
RGNet: A Unified Clip Retrieval and Grounding Network for Long VideosCode1
Leveraging Generative Language Models for Weakly Supervised Sentence Component Analysis in Video-Language Joint Learning—0
Predictive Chemistry Augmented with Text RetrievalCode1
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