Prompt.md

Prompt Learning

1. Attentional Mixtures of Soft Prompt Tuning for Parameter-efficient Multi-task Knowledge Sharing Akari Asai, Mohammadreza Salehi, Matthew E. Peters, Hannaneh Hajishirzi [pdf] [code]
2. Chain of Thought Prompting Elicits Reasoning in Large Language Models Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed Chi, Quoc Le, Denny Zhou [pdf]
3. Continual Prompt Tuning for Dialog State Tracking Qi Zhu, Bing Li, Fei Mi, Xiaoyan Zhu, Minlie Huang ACL 2022 [pdf] [code]
4. Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models Shengnan An, Yifei Li, Zeqi Lin, Qian Liu, Bei Chen, Qiang Fu, Weizhu Chen, Nanning Zheng, Jian-Guang Lou [pdf]
5. PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks Yufei Wang, Can Xu, Qingfeng Sun, Huang Hu, Chongyang Tao, Xiubo Geng, Daxin Jiang ACL 2022 [pdf]
6. Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer [pdf] [code]
7. Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt Lianzhe Huang, Shuming Ma, Dongdong Zhang, Furu Wei, Houfeng Wang [pdf]
8. Discourse-Aware Prompt Design for Text Generation Marjan Ghazvininejad, Vladimir Karpukhin, Asli Celikyilmaz [pdf]
9. Enhancing Cross-lingual Prompting with Mask Token Augmentation Meng Zhou, Xin Li, Yue Jiang, Lidong Bing [pdf]
10. Discrete and Soft Prompting for Multilingual Models Mengjie Zhao, Hinrich Schütze [pdf] [code]
11. AdaPrompt: Adaptive Model Training for Prompt-based NLP Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang [pdf]
12. Controllable Generation from Pre-trained Language Models via Inverse Prompting Xu Zou, Da Yin, Qingyang Zhong, Ming Ding, Zhilin Yang, Jie Tang KDD 2021 [pdf] [demo] [code] [blog]
13. Black-box Prompt Learning for Pre-trained Language Models Shizhe Diao, Xuechun Li, Yong Lin, Zhichao Huang, Tong Zhang [pdf]
14. Context-Tuning: Learning Contextualized Prompts for Natural Language Generation Tianyi Tang, Junyi Li, Wayne Xin Zhao [pdf]
15. Discrete and Soft Prompting for Multilingual Models Mengjie Zhao, Hinrich Schütze EMNLP 2021 [pdf] [code]
16. GPT Understands, Too Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang `` [pdf] [code] [code]
17. OpenPrompt: An Open-source Framework for Prompt-learning Ning Ding, Shengding Hu, Weilin Zhao, Yulin Chen, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun [pdf]