prompt tuning

Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts NAACL 2022 P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks ACL 2022 SPE: Symmetrical Prompt Enhancement for Fact Probing EMNLP 2022 SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer ACL 2022 TaxoPrompt: A Prompt-based Generation Method with Taxonomic Context for Self-Supervised Taxonomy Expansion IJCAI 2022 Template-free Prompt Tuning for Few-shot NER NAACL 2022 Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models NeurIPS 2022 The Power of Prompt Tuning for Low-Resource Semantic Parsing ACL 2022 Towards Automatic Curation of Antibiotic Resistance Genes via Statement Extraction from Scientific Papers: A Benchmark Dataset and Models ACL 2022 Towards Unified Prompt Tuning for Few-shot Text Classification EMNLP 2022 UECA-Prompt: Universal Prompt for Emotion Cause Analysis COLING 2022 Uni-Perceiver: Pre-Training Unified Architecture for Generic Perception for Zero-Shot and Few-Shot Tasks CVPR 2022 Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding EMNLP 2022 Visual-Language Navigation Pretraining via Prompt-based Environmental Self-exploration ACL 2022 VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks CVPR 2022 XPrompt: Exploring the Extreme of Prompt Tuning EMNLP 2022 Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt EMNLP 2022 Learning How to Ask: Querying LMs with Mixtures of Soft Prompts NAACL 2021 The Power of Scale for Parameter-Efficient Prompt Tuning EMNLP 2021 Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning NeurIPS 2021