# 📄 Hard Prompt

## Paper List




[**Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery**](https://doi.org/10.48550/arXiv.2302.03668) (**2023.02.07**)

*Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, etc. - [ArXiv]*

![](https://img.shields.io/badge/Citations-2-green)  [![](https://img.shields.io/badge/Github%20Stars-360-blue)](https://github.com/YuxinWenRick/hard-prompts-made-easy)

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[**SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning**](https://doi.org/10.48550/arXiv.2212.10929) (**2022.12.21**)

*M Saiful Bari, Aston Zhang, Shuai Zheng, Xingjian Shi, Yi Zhu, etc. - [ArXiv]*

![](https://img.shields.io/badge/Citations-1-green)

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[**RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning**](https://doi.org/10.48550/arXiv.2205.12548) (**2022.05.25**)

*Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, etc. - [Conference on Empirical Methods in Natural Language Processing]*

![](https://img.shields.io/badge/Citations-25-green)  [![](https://img.shields.io/badge/Github%20Stars-140-blue)](https://github.com/mingkaid/rl-prompt)

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[**Personalized Prompt Learning for Explainable Recommendation**](https://arxiv.org/abs/2202.07371) (**2022.02.15**)

*Lei Li, Yongfeng Zhang, Li Chen. - [ArXiv]*

![](https://img.shields.io/badge/Citations-10-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-13-red)  [![](https://img.shields.io/badge/Github%20Stars-57-blue)](https://github.com/lileipisces/pepler)

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[**Instance-aware Prompt Learning for Language Understanding and Generation**](https://arxiv.org/abs/2201.07126) (**2022.01.18**)

*Feihu Jin, Jinliang Lu, Jiajun Zhang, Chengqing Zong. - [ArXiv]*

![](https://img.shields.io/badge/Citations-10-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-21-red)  [![](https://img.shields.io/badge/Github%20Stars-6-blue)](https://github.com/jinfeihu-stan/ipl)

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[**PromptAttack: Prompt-based Attack for Language Models via Gradient Search**](https://api.semanticscholar.org/251269b9e16ab1da20cb57a669b2bfdbd0d1cd72) 



![](https://img.shields.io/badge/Citations-0-green)

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[**ADEPT: A DEbiasing PrompT Framework**](https://api.semanticscholar.org/1abd4fa45ce20175452aa238870db2aebe9c0fe0) 



![](https://img.shields.io/badge/Citations-0-green)  [![](https://img.shields.io/badge/Github%20Stars-3-blue)](https://github.com/EmpathYang/ADEPT)
