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Prompt Learning

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Showing 501–550 of 678 papers

TitleStatusHype
Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning—0
融合提示学习的故事生成方法(A Story Generation Method Incorporating Prompt Learning)—0
RPLKG: Robust Prompt Learning with Knowledge Graph—0
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios—0
Seek for Incantations: Towards Accurate Text-to-Image Diffusion Synthesis through Prompt Engineering—0
Self-guided Few-shot Semantic Segmentation for Remote Sensing Imagery Based on Large Vision Models—0
Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition—0
Separated Inter/Intra-Modal Fusion Prompts for Compositional Zero-Shot Learning—0
SETTP: Style Extraction and Tunable Inference via Dual-level Transferable Prompt Learning—0
Shared Growth of Graph Neural Networks via Prompted Free-direction Knowledge Distillation—0
Similarity-Aware Multimodal Prompt Learning for Fake News Detection—0
Single-temporal Supervised Remote Change Detection for Domain Generalization—0
SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback—0
SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning—0
STPrompt: Semantic-guided and Task-driven prompts for Effective Few-shot Classification—0
Style-Pro: Style-Guided Prompt Learning for Generalizable Vision-Language Models—0
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization—0
Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding—0
System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues with Transition Info Extractor and Transition Sentence Generator—0
Ta-Adapter: Enhancing few-shot CLIP with task-aware encoders—0
Tapping the Potential of Coherence and Syntactic Features in Neural Models for Automatic Essay Scoring—0
Zero-Shot Semantic Communication with Multimodal Foundation Models—0
Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models—0
TDG: Text-guided Domain Generalization—0
Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint—0
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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