Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?

20 December 2022

Weijia Shi

Luke Zettlemoyer

Papers citing "Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?"

43 / 43 papers shown

Title
CAPO: Cost-Aware Prompt Optimization Tom Zehle Moritz Schlager Timo Heiß Matthias Feurer VLM 59 0 0 22 Apr 2025
Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness Tingchen Fu Fazl Barez AAML 65 0 0 03 Mar 2025
On the Vulnerability of Concept Erasure in Diffusion Models Lucas Beerens Alex D. Richardson Kaicheng Zhang Dongdong Chen DiffM 68 2 0 24 Feb 2025
From General to Specific: Tailoring Large Language Models for Personalized Healthcare Ruize Shi Hong Huang Wei Zhou Kehan Yin Kai Zhao Yun Zhao LM&MA AI4MH 79 0 0 20 Dec 2024
Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models Yue Li Zhixue Zhao Carolina Scarton 34 0 0 24 Oct 2024
SPRIG: Improving Large Language Model Performance by System Prompt Optimization Lechen Zhang Tolga Ergen Lajanugen Logeswaran Moontae Lee David Jurgens LRM 59 8 0 18 Oct 2024
Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter Junhao Chen Bowen Wang Zhouqiang Jiang Yuta Nakashima 48 1 0 20 Aug 2024
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL Yunseon Choi Sangmin Bae Seonghyun Ban Minchan Jeong Chuheng Zhang Lei Song Li Zhao Jiang Bian Kee-Eung Kim VLM AAML 36 3 0 20 Jul 2024
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models Shouchang Guo Sonam Damani Keng-hao Chang VLM 36 1 0 27 Jun 2024
On the Transformations across Reward Model, Parameter Update, and In-Context Prompt Deng Cai Huayang Li Tingchen Fu Siheng Li Weiwen Xu ... Leyang Cui Yan Wang Lemao Liu Taro Watanabe Shuming Shi KELM 30 2 0 24 Jun 2024
Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation Jie Ruan Wenqing Wang Xiaojun Wan AAML ELM 36 3 0 12 Jun 2024
On the Worst Prompt Performance of Large Language Models Bowen Cao Deng Cai Zhisong Zhang Yuexian Zou Wai Lam ALM LRM 30 6 0 08 Jun 2024
Prompt Optimization with Human Feedback Xiaoqiang Lin Zhongxiang Dai Arun Verma See-Kiong Ng Patrick Jaillet K. H. Low AAML 36 8 0 27 May 2024
RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models Saeed Najafi Alona Fyshe 32 1 0 04 Mar 2024
Efficient Prompt Optimization Through the Lens of Best Arm Identification Chengshuai Shi Kun Yang Zihan Chen Jundong Li Jing Yang Cong Shen 50 6 0 15 Feb 2024
Fluent dreaming for language models T. B. Thompson Zygimantas Straznickas Michael Sklar VLM 24 2 0 24 Jan 2024
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer Junyuan Hong Jiachen T. Wang Chenhui Zhang Zhangheng Li Bo-wen Li Zhangyang Wang 48 29 0 27 Nov 2023
Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation Yao Lu Jiayi Wang Raphael Tang Sebastian Riedel Pontus Stenetorp 35 2 0 16 Nov 2023
Prompt have evil twins Rimon Melamed Lucas H. McCabe T. Wakhare Yejin Kim H. H. Huang Enric Boix-Adsera 36 3 0 13 Nov 2023
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models Zhihan Zhang Shuohang Wang W. Yu Yichong Xu Dan Iter Qingkai Zeng Yang Liu Chenguang Zhu Meng Jiang SyDa ALM 27 22 0 19 Oct 2023
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting Melanie Sclar Yejin Choi Yulia Tsvetkov Alane Suhr 53 306 0 17 Oct 2023
Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models? Yu-Lin Tsai Chia-Yi Hsu Chulin Xie Chih-Hsun Lin Jia-You Chen Bo-wen Li Pin-Yu Chen Chia-Mu Yu Chun-ying Huang DiffM 39 77 0 16 Oct 2023
What's the Magic Word? A Control Theory of LLM Prompting Aman Bhargava Cameron Witkowski Manav Shah Matt W. Thomson LLMAG 61 29 0 02 Oct 2023
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers Xiaoqiang Lin Zhaoxuan Wu Zhongxiang Dai Wenyang Hu Yao Shu See-Kiong Ng Patrick Jaillet Bryan Kian Hsiang Low 32 10 0 02 Oct 2023
A Practical Survey on Zero-shot Prompt Design for In-context Learning Yinheng Li LRM 19 46 0 22 Sep 2023
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts Zhi-Yi Chin Chieh-Ming Jiang Ching-Chun Huang Pin-Yu Chen Wei-Chen Chiu DiffM 19 67 0 12 Sep 2023
Language Models as Black-Box Optimizers for Vision-Language Models Shihong Liu Zhiqiu Lin Samuel Yu Ryan Lee Tiffany Ling Deepak Pathak Deva Ramanan VLM 32 28 0 12 Sep 2023
Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors Kolby Nottingham Yasaman Razeghi Kyungmin Kim JB Lanier Pierre Baldi Roy Fox Sameer Singh 30 9 0 21 Jul 2023
Explore, Establish, Exploit: Red Teaming Language Models from Scratch Stephen Casper Jason Lin Joe Kwon Gatlen Culp Dylan Hadfield-Menell AAML 8 83 0 15 Jun 2023
Active Learning Principles for In-Context Learning with Large Language Models Katerina Margatina Timo Schick Nikolaos Aletras Jane Dwivedi-Yu 30 39 0 23 May 2023
Explaining black box text modules in natural language with language models Chandan Singh Aliyah R. Hsu Richard Antonello Shailee Jain Alexander G. Huth Bin-Xia Yu Jianfeng Gao MILM 34 47 0 17 May 2023
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery Yuxin Wen Neel Jain John Kirchenbauer Micah Goldblum Jonas Geiping Tom Goldstein VLM DiffM 24 254 1 07 Feb 2023
Demystifying Prompts in Language Models via Perplexity Estimation Hila Gonen Srini Iyer Terra Blevins Noah A. Smith Luke Zettlemoyer LRM 46 196 0 08 Dec 2022
On the Relation between Sensitivity and Accuracy in In-context Learning Yanda Chen Chen Zhao Zhou Yu Kathleen McKeown He He 182 77 0 16 Sep 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 328 4,077 0 24 May 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts Stephen H. Bach Victor Sanh Zheng-Xin Yong Albert Webson Colin Raffel ... Khalid Almubarak Xiangru Tang Dragomir R. Radev Mike Tian-Jian Jiang Alexander M. Rush VLM 225 339 0 02 Feb 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 213 1,661 0 15 Oct 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 279 1,124 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,858 0 18 Apr 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,312 0 17 Jan 2021
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 254 342 0 01 Jan 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 282 1,996 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020