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Prompt Learning

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Showing 526–550 of 678 papers

TitleStatusHype
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models—0
TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems—0
Text-driven Prompt Generation for Vision-Language Models in Federated Learning—0
Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation—0
Enhancing Large Language Models with Domain-Specific Knowledge: The Case in Topological Materials—0
Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models—0
Towards Graph Prompt Learning: A Survey and Beyond—0
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning—0
Towards Robust Prompts on Vision-Language Models—0
Towards Unified Prompt Tuning for Few-shot Learning—0
Towards Unified Prompt Tuning for Few-shot Text Classification—0
Towards Universal Learning-based Model for Cardiac Image Reconstruction: Summary of the CMRxRecon2024 Challenge—0
Towards using Few-Shot Prompt Learning for Automating Model Completion—0
Training-Free Semantic Segmentation via LLM-Supervision—0
Transitive Vision-Language Prompt Learning for Domain Generalization—0
Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential—0
Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks—0
Trompt: Towards a Better Deep Neural Network for Tabular Data—0
Tuning Vision-Language Models with Candidate Labels by Prompt Alignment—0
UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt—0
Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts—0
Understanding the Multi-modal Prompts of the Pre-trained Vision-Language Model—0
Unleashing the potential of prompt engineering for large language models—0
Unlocking Multimodal Integration in EHRs: A Prompt Learning Framework for Language and Time Series Fusion—0
Unsupervised Brain Tumor Segmentation with Image-based Prompts—0
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