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Prompt Learning

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Showing 501–550 of 678 papers

TitleStatusHype
K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning—0
MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-task Learning—0
Exploration of visual prompt in Grounded pre-trained open-set detection—0
Helping Language Models Learn More: Multi-dimensional Task Prompt for Few-shot Tuning—0
Domain Prompt Learning with Quaternion Networks—0
OpenSD: Unified Open-Vocabulary Segmentation and DetectionCode0
SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited ScenariosCode0
Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration—0
HGPROMPT: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning—0
Regressor-Segmenter Mutual Prompt Learning for Crowd Counting—0
Adaptive Multi-Modality Prompt Learning—0
DAP: Domain-aware Prompt Learning for Vision-and-Language Navigation—0
ControlRec: Bridging the Semantic Gap between Language Model and Personalized Recommendation—0
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing—0
Can Out-of-Domain data help to Learn Domain-Specific Prompts for Multimodal Misinformation Detection?Code0
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP—0
Vector-Quantized Prompt Learning for Paraphrase Generation—0
Self-guided Few-shot Semantic Segmentation for Remote Sensing Imagery Based on Large Vision Models—0
GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot LearningCode0
CLIP Guided Image-perceptive Prompt Learning for Image Enhancement—0
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization—0
Unleashing the potential of prompt engineering for large language models—0
Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment PredictionCode0
Motif-Based Prompt Learning for Universal Cross-Domain Recommendation—0
AllTogether: Investigating the Efficacy of Spliced Prompt for Web Navigation using Large Language Models—0
Using Global Land Cover Product as Prompt for Cropland Mapping via Visual Foundation Model—0
Self-Pro: A Self-Prompt and Tuning Framework for Graph Neural NetworksCode0
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related FeaturesCode0
Prompt Backdoors in Visual Prompt Learning—0
Contrastive Prompt Learning-based Code Search based on Interaction Matrix—0
Text-driven Prompt Generation for Vision-Language Models in Federated Learning—0
Learning to Prompt Your Domain for Vision-Language Models—0
Exploring Small Language Models with Prompt-Learning Paradigm for Efficient Domain-Specific Text Classification—0
Nested Event Extraction upon Pivot Element RecognitonCode0
Gradient constrained sharpness-aware prompt learning for vision-language models—0
Adaptive Prompt Learning with Distilled Connective Knowledge for Implicit Discourse Relation RecognitionCode0
PRE: Vision-Language Prompt Learning with Reparameterization EncoderCode0
Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement PredictionCode0
Prompt Learning With Knowledge Memorizing Prototypes For Generalized Few-Shot Intent Detection—0
Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment—0
Incremental Learning of Humanoid Robot Behavior from Natural Interaction and Large Language Models—0
Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning—0
LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models—0
Contextual Biasing of Named-Entities with Large Language Models—0
Can Prompt Learning Benefit Radiology Report Generation?—0
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ SegmentationCode0
PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning—0
Knowledge-injected Prompt Learning for Chinese Biomedical Entity Normalization—0
GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised LearningCode0
TDG: Text-guided Domain Generalization—0
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