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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 381–390 of 671 papers

TitleStatusHype
ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data—0
Image-text Retrieval: A Survey on Recent Research and Development—0
Image-Text Retrieval with Binary and Continuous Label Supervision—0
Improving Adversarial Transferability of Vision-Language Pre-training Models through Collaborative Multimodal Interaction—0
Exploring Train and Test-Time Augmentations for Audio-Language Learning—0
Improving embedding with contrastive fine-tuning on small datasets with expert-augmented scores—0
Improving General Text Embedding Model: Tackling Task Conflict and Data Imbalance through Model Merging—0
Improving Medical Visual Representation Learning with Pathological-level Cross-Modal Alignment and Correlation Exploration—0
Improving Retrieval for RAG based Question Answering Models on Financial Documents—0
In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval—0
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