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Prompt Learning

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Showing 326–350 of 678 papers

TitleStatusHype
DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning—0
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation—0
Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering—0
Deep Learning Approaches to Lexical Simplification: A Survey—0
Demonstrating Mutual Reinforcement Effect through Information Flow—0
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation—0
Determined Multi-Label Learning via Similarity-Based Prompt—0
Differentiable Prompt Learning for Vision Language Models—0
DiMPLe -- Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation—0
DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models—0
Diversity Covariance-Aware Prompt Learning for Vision-Language Models—0
DLM-VMTL:A Double Layer Mapper for heterogeneous data video Multi-task prompt learning—0
Domain Prompt Learning with Quaternion Networks—0
DP-GPL: Differentially Private Graph Prompt Learning—0
DPL: Decoupled Prompt Learning for Vision-Language Models—0
DualFocus: Integrating Plausible Descriptions in Text-based Person Re-identification—0
Dual Prompting for Diverse Count-level PET Denoising—0
Learning to Prompt Your Domain for Vision-Language Models—0
Node-Time Conditional Prompt Learning In Dynamic Graphs—0
Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries—0
Effectively Prompting Small-sized Language Models for Cross-lingual Tasks via Winning Tickets—0
Efficient Test-Time Prompt Tuning for Vision-Language Models—0
Emotion-Conditioned Text Generation through Automatic Prompt Optimization—0
Empirical Study of Large Language Models as Automated Essay Scoring Tools in English Composition__Taking TOEFL Independent Writing Task for Example—0
Empirical Study of Mutual Reinforcement Effect and Application in Few-shot Text Classification Tasks via Prompt—0
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