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Prompt Learning

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Showing 226–250 of 678 papers

TitleStatusHype
From Visual Prompt Learning to Zero-Shot Transfer: Mapping Is All You Need—0
CoPL: Contextual Prompt Learning for Vision-Language Understanding—0
Contextual Biasing of Named-Entities with Large Language Models—0
Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation—0
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation—0
Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment—0
A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-Time Adaptation for Vision-Language Models—0
In-Context Code-Text Learning for Bimodal Software Engineering—0
From Two-Stream to One-Stream: Efficient RGB-T Tracking via Mutual Prompt Learning and Knowledge Distillation—0
In-context Prompt Learning for Test-time Vision Recognition with Frozen Vision-language Model—0
Context-Aware Prompt: Customize A Unique Prompt For Each Input—0
Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models—0
GCoT: Chain-of-Thought Prompt Learning for Graphs—0
ConsPrompt: Exploiting Contrastive Samples for Fewshot Prompt Learning—0
Attention Head Purification: A New Perspective to Harness CLIP for Domain Generalization—0
Controllable Image Captioning via Prompting—0
Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models—0
AllTogether: Investigating the Efficacy of Spliced Prompt for Web Navigation using Large Language Models—0
Incomplete In-context Learning—0
Incremental Learning of Humanoid Robot Behavior from Natural Interaction and Large Language Models—0
In the Era of Prompt Learning with Vision-Language Models—0
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models—0
COOL: Comprehensive Knowledge Enhanced Prompt Learning for Domain Adaptive Few-shot Fake News Detection—0
Gradient-Based Language Model Red Teaming—0
Adaptive Prompt Learning with Negative Textual Semantics and Uncertainty Modeling for Universal Multi-Source Domain Adaptation—0
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