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prompt tuning
prompt tuning
391 papers
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Also known as
PT
Co-occurring keywords
few-shot learning
(3398)
vision-language model
(2348)
transfer learning
(5449)
large language model
(13587)
soft prompt
(82)
pre-trained language model
(1515)
zero-shot learning
(3650)
parameter-efficient fine-tuning
(736)
domain adaptation
(4595)
language model
(4599)
Papers
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
NIPS 2022
PCBERT: Parent and Child BERT for Chinese Few-shot NER
COLING 2022
KiPT: Knowledge-injected Prompt Tuning for Event Detection
COLING 2022
PPT: Pre-trained Prompt Tuning for Few-shot Learning
ACL 2022
Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning
AAAI 2022
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
NIPS 2022
CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction
IJCAI 2022
DPTDR: Deep Prompt Tuning for Dense Passage Retrieval
COLING 2022
Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection
COLING 2022
CPL: Counterfactual Prompt Learning for Vision and Language Models
EMNLP 2022
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
EMNLP 2022
TaxoPrompt: A Prompt-based Generation Method with Taxonomic Context for Self-Supervised Taxonomy Expansion
IJCAI 2022
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
NAACL 2021
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning
NIPS 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
EMNLP 2021
IIE-NLP-NUT at SemEval-2020 Task 4: Guiding PLM with Prompt Template Reconstruction Strategy for ComVE
COLING 2020
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