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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 211–220 of 671 papers

TitleStatusHype
Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language ModelsCode1
Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence RegularizationCode1
Eye-gaze Guided Multi-modal Alignment for Medical Representation LearningCode1
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQACode1
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text RetrievalCode1
More Robust Dense Retrieval with Contrastive Dual LearningCode1
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents IntegrationCode1
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal AdapterCode1
Learning Video Context as Interleaved Multimodal SequencesCode1
From Association to Generation: Text-only Captioning by Unsupervised Cross-modal MappingCode1
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