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Prompt Learning

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Showing 276–300 of 678 papers

TitleStatusHype
Enhancing Travel Choice Modeling with Large Language Models: A Prompt-Learning Approach—0
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not—0
Learning to Prompt Segment Anything Models—0
Enhancing Target-unspecific Tasks through a Features Matrix—0
Enhancing Robustness of Vision-Language Models through Orthogonality Learning and Self-Regularization—0
CLIP-driven Outliers Synthesis for few-shot OOD detection—0
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs—0
Enhancing Multi-Hop Knowledge Graph Reasoning through Reward Shaping Techniques—0
A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models—0
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization—0
Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model—0
CLIP-Based Modality Compensation for Visible-Infrared Image Re-Identification—0
ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding—0
Learning Textual Prompts for Open-World Semi-Supervised Learning—0
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection—0
Enhanced Visual-Semantic Interaction with Tailored Prompts for Pedestrian Attribute Recognition—0
CLEAR: Cluster-based Prompt Learning on Heterogeneous Graphs—0
Class-Incremental Few-Shot Event Detection—0
Are You Copying My Prompt? Protecting the Copyright of Vision Prompt for VPaaS via Watermark—0
Adaptive Multi-Modality Prompt Learning—0
Endow SAM with Keen Eyes: Temporal-spatial Prompt Learning for Video Camouflaged Object Detection—0
EMPL: A novel Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation—0
A Retrospect to Multi-prompt Learning across Vision and Language—0
Empirical Study of Mutual Reinforcement Effect and Application in Few-shot Text Classification Tasks via Prompt—0
Empirical Study of Large Language Models as Automated Essay Scoring Tools in English Composition__Taking TOEFL Independent Writing Task for Example—0
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