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

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022

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?"

40 / 40 papers shown

Title
A Toolbox for Improving Evolutionary Prompt Search Daniel Grießhaber Maximilian Kimmich J. Maucher Ngoc Thang Vu 174 0 0 07 Nov 2025
Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI Zheng Huang Enpei Zhang Yinghao Cai Weikang Qiu Carl Yang Elynn Chen Xiang Zhang Rex Ying Dawei Zhou Yujun Yan DiffM 88 0 0 17 Oct 2025
PromptSculptor: Multi-Agent Based Text-to-Image Prompt Optimization Dawei Xiang Wenyan Xu Kexin Chu Zixu Shen Tianqi Ding Yiming Zeng Jianchang Su Wei Zhang LLMAG 143 9 0 15 Sep 2025
GPT, But Backwards: Exactly Inverting Language Model Outputs Adrians Skapars Edoardo Manino Youcheng Sun Lucas C. Cordeiro 122 0 0 02 Jul 2025
RiOT: Efficient Prompt Refinement with Residual Optimization TreeAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Chenyi Zhou Zhengyan Shi Xingtai Lv Lei Liang H. Chen Qiang Zhang 138 1 0 19 Jun 2025
CAPO: Cost-Aware Prompt Optimization Tom Zehle Moritz Schlager Timo Heiß Matthias Feurer VLM 510 0 0 22 Apr 2025
PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel OptimizationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Yang Jiao Xiao Wang Kai Yang AAML SILM 316 8 0 10 Apr 2025
Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness Tingchen Fu Fazl Barez AAML 223 1 0 03 Mar 2025
Rethinking the Vulnerability of Concept Erasure and a New Method Alex D. Richardson Alex D. Richardson Lucas Beerens Dongdong Chen DiffM 581 3 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 234 5 0 20 Dec 2024
Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models Yue Li Zhixue Zhao Carolina Scarton 212 1 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 312 29 0 18 Oct 2024
Putting People in LLMs' Shoes: Generating Better Answers via Question RewriterAAAI Conference on Artificial Intelligence (AAAI), 2024 Junhao Chen Bowen Wang Zhouqiang Jiang Yuta Nakashima 196 3 0 20 Aug 2024
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL Yunseon Choi Sangmin Bae Seonghyun Ban Minchan Jeong Wei Shen Lei Song Wei Xiong Jiang Bian Kee-Eung Kim VLM AAML 150 4 0 20 Jul 2024
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models Shouchang Guo Sonam Damani Keng-hao Chang VLM 100 3 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 192 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 195 10 0 12 Jun 2024
On the Worst Prompt Performance of Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024 Bowen Cao Deng Cai Zhisong Zhang Yuexian Zou Wai Lam ALM LRM 190 20 0 08 Jun 2024
Prompt Optimization with Human Feedback Xiaoqiang Lin Zhongxiang Dai Arun Verma See-Kiong Ng Patrick Jaillet K. H. Low AAML 191 25 0 27 May 2024
RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models Saeed Najafi Alona Fyshe 222 3 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 229 20 0 15 Feb 2024
Fluent dreaming for language models T. B. Thompson Zygimantas Straznickas Michael Sklar VLM 107 3 0 24 Jan 2024
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt EngineerInternational Conference on Learning Representations (ICLR), 2023 Junyuan Hong Jiachen T. Wang Chenhui Zhang Zhangheng Li Yue Liu Zinan Lin 469 54 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 163 5 0 16 Nov 2023
Prompt have evil twinsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Rimon Melamed Lucas H. McCabe T. Wakhare Yejin Kim H. H. Huang Enric Boix-Adsera 182 7 0 13 Nov 2023
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models Zhihan Zhang Shuohang Wang Wenhao Yu Yichong Xu Dan Iter Qingkai Zeng Yang Liu Chenguang Zhu Meng Jiang SyDa ALM 135 28 0 19 Oct 2023
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formattingInternational Conference on Learning Representations (ICLR), 2023 Melanie Sclar Yejin Choi Yulia Tsvetkov Alane Suhr 265 527 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 Yue Liu Pin-Yu Chen Chia-Mu Yu Chun-ying Huang DiffM 249 146 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 364 44 0 02 Oct 2023
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with TransformersInternational Conference on Machine Learning (ICML), 2023 Xiaoqiang Lin Zhaoxuan Wu Zhongxiang Dai Wenyang Hu Yao Shu See-Kiong Ng Patrick Jaillet Bryan Kian Hsiang Low 202 22 0 02 Oct 2023
A Practical Survey on Zero-shot Prompt Design for In-context LearningRecent Advances in Natural Language Processing (RANLP), 2023 Yinheng Li LRM 169 82 0 22 Sep 2023
EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers Qingyan Guo Rui Wang Junliang Guo Bei Li Kaitao Song Xu Tan Guoqing Liu Jiang Bian Yiran Yang 393 163 0 15 Sep 2023
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic PromptsInternational Conference on Machine Learning (ICML), 2023 Zhi-Yi Chin Chieh-Ming Jiang Ching-Chun Huang Pin-Yu Chen Wei-Chen Chiu DiffM 263 115 0 12 Sep 2023
Language Models as Black-Box Optimizers for Vision-Language ModelsComputer Vision and Pattern Recognition (CVPR), 2023 Shihong Liu Zhiqiu Lin Samuel Yu Ryan Lee Tiffany Ling Deepak Pathak Deva Ramanan VLM 317 39 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 184 10 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 256 116 0 15 Jun 2023
Active Learning Principles for In-Context Learning with Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Katerina Margatina Timo Schick Nikolaos Aletras Jane Dwivedi-Yu 367 61 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 Yu Jianfeng Gao MILM 216 66 0 17 May 2023
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and DiscoveryNeural Information Processing Systems (NeurIPS), 2023 Yuxin Wen Neel Jain John Kirchenbauer Micah Goldblum Jonas Geiping Tom Goldstein VLM DiffM 273 351 1 07 Feb 2023
Demystifying Prompts in Language Models via Perplexity EstimationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Hila Gonen Srini Iyer Terra Blevins Noah A. Smith Luke Zettlemoyer LRM 341 270 0 08 Dec 2022