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Prompt Learning

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Showing 351–375 of 678 papers

TitleStatusHype
LOBG:Less Overfitting for Better Generalization in Vision-Language Model—0
Empirical Study of Mutual Reinforcement Effect and Application in Few-shot Text Classification Tasks via Prompt—0
Animating the Past: Reconstruct Trilobite via Video Generation—0
In-Context Code-Text Learning for Bimodal Software Engineering—0
ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large Multimodal Models—0
Item Cluster-aware Prompt Learning for Session-based Recommendation—0
On Unsupervised Prompt Learning for Classification with Black-box Language Models—0
PALM: Few-Shot Prompt Learning for Audio Language Models—0
LW2G: Learning Whether to Grow for Prompt-based Continual LearningCode0
LCMDC: Large-scale Chinese Medical Dialogue Corpora for Automatic Triage and Medical Consultation—0
What Would Happen Next? Predicting Consequences from An Event Causality GraphCode0
RmGPT: Rotating Machinery Generative Pretrained Model—0
Federated Large Language Models: Current Progress and Future Directions—0
Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint—0
Mixture of Prompt Learning for Vision Language Models—0
A Knowledge-Enhanced Disease Diagnosis Method Based on Prompt Learning and BERT Integration—0
Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations—0
Multimodal Emotion Recognition with Vision-language Prompting and Modality Dropout—0
Insight Any Instance: Promptable Instance Segmentation for Remote Sensing Images—0
Revisiting Prompt Pretraining of Vision-Language Models—0
Enhancing Large Language Models with Domain-Specific Knowledge: The Case in Topological Materials—0
Open-World Dynamic Prompt and Continual Visual Representation Learning—0
Boosting CLIP Adaptation for Image Quality Assessment via Meta-Prompt Learning and Gradient Regularization—0
MuAP: Multi-step Adaptive Prompt Learning for Vision-Language Model with Missing Modality—0
Visual Prompting in Multimodal Large Language Models: A Survey—0
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