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Prompt Learning

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Showing 426–450 of 678 papers

TitleStatusHype
Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment—0
Contextual Biasing of Named-Entities with Large Language Models—0
CoPL: Contextual Prompt Learning for Vision-Language Understanding—0
Contrastive Prompt Learning-based Code Search based on Interaction Matrix—0
Controllable Image Captioning via Prompting—0
ControlRec: Bridging the Semantic Gap between Language Model and Personalized Recommendation—0
COOL: Comprehensive Knowledge Enhanced Prompt Learning for Domain Adaptive Few-shot Fake News Detection—0
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging—0
CPL: Counterfactual Prompt Learning for Vision and Language Models—0
Cross-Lingual Transfer for Natural Language Inference via Multilingual Prompt Translator—0
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing—0
Task-Specific Adaptation of Segmentation Foundation Model via Prompt Learning—0
DAP: Domain-aware Prompt Learning for Vision-and-Language Navigation—0
DAPrompt: Deterministic Assumption Prompt Learning for Event Causality Identification—0
Data-free Multi-label Image Recognition via LLM-powered Prompt Tuning—0
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
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