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Prompt Learning

Papers

Showing 651678 of 678 papers

TitleStatusHype
Towards Unified Prompt Tuning for Few-shot Text Classification0
Enhancing Cross-lingual Natural Language Inference by Prompt-learning from Cross-lingual TemplatesCode0
BERT 4EVER@LT-EDI-ACL2022-Detecting signs of Depression from Social Media:Detecting Depression in Social Media using Prompt-Learning and Word-Emotion Cluster0
Impossible Triangle: What's Next for Pre-trained Language Models?0
Unsupervised Prompt Learning for Vision-Language ModelsCode1
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt LearningCode0
PromptDet: Towards Open-vocabulary Detection using Uncurated ImagesCode2
Conditional Prompt Learning for Vision-Language ModelsCode4
Prompt-Learning for Short Text Classification0
Personalized Prompt Learning for Explainable RecommendationCode1
Domain Adaptation via Prompt LearningCode1
AdaPrompt: Adaptive Model Training for Prompt-based NLP0
Black-box Prompt Learning for Pre-trained Language ModelsCode1
PROMPT: Learning Dynamic Resource Allocation Policies for Network Applications0
Instance-aware Prompt Learning for Language Understanding and GenerationCode0
Context-Aware Prompt: Customize A Unique Prompt For Each Input0
A Dual Prompt Learning Framework for Few-Shot Dialogue State Tracking0
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen DomainsCode1
Prompt-Learning for Fine-Grained Entity Typing0
NSP-NER: A Prompt-based Learner for Few-shot NER Driven by Next Sentence Prediction0
Towards Unified Prompt Tuning for Few-shot Learning0
NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction0
Response Generation with Context-Aware Prompt Learning0
OpenPrompt: An Open-source Framework for Prompt-learningCode2
NSP-BERT: A Prompt-based Few-Shot Learner Through an Original Pre-training Task--Next Sentence Prediction0
Learning to Prompt for Vision-Language ModelsCode2
Prompt-Learning for Fine-Grained Entity Typing0
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen DomainsCode1
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