soft prompt

Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random Walks ACL 2023 Tunable Soft Prompts are Messengers in Federated Learning EMNLP 2023 Adversarial Soft Prompt Tuning for Cross-Domain Sentiment Analysis ACL 2022 ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts EMNLP 2022 Coherent Long Text Generation by Contrastive Soft Prompt EMNLP 2022 HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification EMNLP 2022 MetaPrompting: Learning to Learn Better Prompts COLING 2022 On Transferability of Prompt Tuning for Natural Language Processing NAACL 2022 Parameter Efficient Transfer Learning for Suicide Attempt and Ideation Detection EMNLP 2022 PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning IJCAI 2022 PPT: Pre-trained Prompt Tuning for Few-shot Learning ACL 2022 PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks ACL 2022 Prompt-based Conservation Learning for Multi-hop Question Answering COLING 2022 PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization COLING 2022 SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer ACL 2022 Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding EMNLP 2022 XPrompt: Exploring the Extreme of Prompt Tuning 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