SOTAVerified

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 451–460 of 671 papers

TitleStatusHype
Defense of Adversarial Ranking Attack in Text Retrieval: Benchmark and Baseline via Detection—0
Towards a Visual-Language Foundation Model for Computational Pathology—0
Extracting Molecular Properties from Natural Language with Multimodal Contrastive Learning—0
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP—0
Stop Pre-Training: Adapt Visual-Language Models to Unseen LanguagesCode0
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input—0
TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible AdapterCode0
MSVD-Indonesian: A Benchmark for Multimodal Video-Text Tasks in IndonesianCode0
Align, Adapt and Inject: Sound-guided Unified Image Generation—0
Integrating Listwise Ranking into Pairwise-based Image-Text RetrievalCode0
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