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TitleStatusHype
AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention MechanismCode1
Contrastive Learning and Mixture of Experts Enables Precise Vector EmbeddingsCode1
Context-Preserving Text SimplificationCode1
Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection TaskCode1
Mathematical Foundations for a Compositional Distributional Model of MeaningCode1
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentationCode1
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question AnsweringCode1
Contextual Lensing of Universal Sentence RepresentationsCode1
Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person SearchCode1
Example-Driven Intent Prediction with ObserversCode1
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