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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 301–310 of 671 papers

TitleStatusHype
Multi-event Video-Text RetrievalCode1
ALIP: Adaptive Language-Image Pre-training with Synthetic CaptionCode1
Vision-Language Dataset DistillationCode1
Helping Hands: An Object-Aware Ego-Centric Video Recognition ModelCode1
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive LearningCode1
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks—0
Embedding-based Retrieval with LLM for Effective Agriculture Information Extracting from Unstructured Data—0
The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open WorldCode2
Defense of Adversarial Ranking Attack in Text Retrieval: Benchmark and Baseline via Detection—0
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training ModelsCode1
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