Papers
58 papers found
Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning
Yuxin Jiang, Linhan Zhang, Wei Wang
Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning
Jirui Qi, Richong Zhang, Junfan Chen et al.
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models
Woojeong Jin, Yu Cheng, Yelong Shen et al.
Enhancing Cross-lingual Natural Language Inference by Prompt-learning from Cross-lingual Templates
Kunxun Qi, Hai Wan, Jianfeng Du et al.
OpenPrompt: An Open-source Framework for Prompt-learning
Ning Ding, Shengding Hu, Weilin Zhao et al.
BERT 4EVER@LT-EDI-ACL2022-Detecting signs of Depression from Social Media:Detecting Depression in Social Media using Prompt-Learning and Word-Emotion Cluster
Xiaotian Lin, Yingwen Fu, Ziyu Yang et al.
Prompt-learning for Fine-grained Entity Typing
Ning Ding, Yulin Chen, Xu Han et al.
Fast and Constrained Absent Keyphrase Generation by Prompt-Based Learning
Huanqin Wu, Baijiaxin Ma, Wei Liu et al.
Learning To Prompt for Continual Learning
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee et al.
LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning
Zhicheng Yang, Jinghui Qin, Jiaqi Chen et al.
Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for Unsupervised Sentence Embedding
Jiali Zeng, Yongjing Yin, Yufan Jiang et al.
Co-training Improves Prompt-based Learning for Large Language Models
Hunter Lang, Monica N Agrawal, Yoon Kim et al.
Contrastive Learning for Prompt-based Few-shot Language Learners
Yiren Jian, Chongyang Gao, Soroush Vosoughi
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm
Lei Xu, Yangyi Chen, Ganqu Cui et al.
Zero-Shot Event Detection Based on Ordered Contrastive Learning and Prompt-Based Prediction
Senhui Zhang, Tao Ji, Wendi Ji et al.
Prompt-based Conservation Learning for Multi-hop Question Answering
Zhenyun Deng, Yonghua Zhu, Yang Chen et al.
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin, Jonathan Herzig, Jonathan Berant
Prompt-Based Meta-Learning For Few-shot Text Classification
Haoxing Zhang, Xiaofeng Zhang, Haibo Huang et al.
On Measuring Social Biases in Prompt-Based Multi-Task Learning
Afra Feyza Akyürek, Sejin Paik, Muhammed Kocyigit et al.
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning
Zifeng Wang, Jimeng Sun
Prompt-free and Efficient Few-shot Learning with Language Models
Rabeeh Karimi Mahabadi, Luke Zettlemoyer, James Henderson et al.
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning
Yaqing Wang, Xin Tian, Haoyi Xiong et al.
S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning
Yabin Wang, Zhiwu Huang, Xiaopeng Hong
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
Xiang Chen, Lei Li, Ningyu Zhang et al.
ConnPrompt: Connective-cloze Prompt Learning for Implicit Discourse Relation Recognition
Wei Xiang, Zhenglin Wang, Lu Dai et al.