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Prompt Learning

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Showing 501–525 of 678 papers

TitleStatusHype
G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Reasoning—0
Helping Language Models Learn More: Multi-dimensional Task Prompt for Few-shot Tuning—0
Heterogeneous Subgraph Network with Prompt Learning for Interpretable Depression Detection on Social Media—0
HGPROMPT: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning—0
Hierarchical Prompt Learning for Multi-Task Learning—0
HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks—0
How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?—0
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation—0
ICPC: Instance-Conditioned Prompting with Contrastive Learning for Semantic Segmentation—0
Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning—0
IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning—0
Impossible Triangle: What's Next for Pre-trained Language Models?—0
Improving Generalization of Image Captioning with Unsupervised Prompt Learning—0
Improving GenIR Systems Based on User Feedback—0
Incomplete In-context Learning—0
In-Context Code-Text Learning for Bimodal Software Engineering—0
In-context Prompt Learning for Test-time Vision Recognition with Frozen Vision-language Model—0
Incremental Learning of Humanoid Robot Behavior from Natural Interaction and Large Language Models—0
Insight Any Instance: Promptable Instance Segmentation for Remote Sensing Images—0
Instance-Aware Graph Prompt Learning—0
Instance-wise Prompt Tuning for Pretrained Language Models—0
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning—0
Integrated Structural Prompt Learning for Vision-Language Models—0
Interpretable Few-Shot Retinal Disease Diagnosis with Concept-Guided Prompting of Vision-Language Models—0
In the Era of Prompt Learning with Vision-Language Models—0
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