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CAPO: Cost-Aware Prompt Optimization

22 April 2025

Papers citing "CAPO: Cost-Aware Prompt Optimization"

31 / 31 papers shown

Title
Aviary: training language agents on challenging scientific tasks Siddharth Narayanan James D. Braza Ryan-Rhys Griffiths Manu Ponnapati Albert Bou ... Ori Kabeli Geemi P Wellawatte Sam Cox Samuel G. Rodriques A. White 51 14 0 31 Dec 2024
Hyperband-based Bayesian Optimization for Black-box Prompt Selection Lennart Schneider Martin Wistuba Aaron Klein Jacek Golebiowski Giovanni Zappella Felice Antonio Merra 100 3 0 10 Dec 2024
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars Zhaoxuan Wu Xiaoqiang Lin Zhongxiang Dai Wenyang Hu Yao Shu See-Kiong Ng Patrick Jaillet Bryan Kian Hsiang Low 38 11 0 25 May 2024
Automatic Prompt Selection for Large Language Models Viet-Tung Do Van-Khanh Hoang Duy-Hung Nguyen Shahab Sabahi Jeff Yang Hajime Hotta Minh-Tien Nguyen Hung Le 73 6 0 03 Apr 2024
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 64 11 0 02 Oct 2023
Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Chrisantha Fernando Dylan Banarse Henryk Michalewski Simon Osindero Tim Rocktaschel LLMAG ReLM LRM 77 207 0 28 Sep 2023
Efficient Memory Management for Large Language Model Serving with PagedAttention Woosuk Kwon Zhuohan Li Siyuan Zhuang Ying Sheng Lianmin Zheng Cody Hao Yu Joseph E. Gonzalez Haotong Zhang Ion Stoica VLM 192 2,311 0 12 Sep 2023
Large Language Models as Optimizers Chengrun Yang Xuezhi Wang Yifeng Lu Hanxiao Liu Quoc V. Le Denny Zhou Xinyun Chen ODL 100 427 0 07 Sep 2023
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models Lichang Chen Jiuhai Chen Tom Goldstein Heng-Chiao Huang Dinesh Manocha 67 45 0 05 Jun 2023
TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks Shubhra (Santu) Karmaker Dongji Feng 74 58 0 19 May 2023
Automatic Prompt Optimization with "Gradient Descent" and Beam Search Reid Pryzant Dan Iter Jerry Li Y. Lee Chenguang Zhu Michael Zeng 68 350 0 04 May 2023
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Jules White Quchen Fu Sam Hays Michael Sandborn Carlos Olea Henry Gilbert Ashraf Elnashar Jesse Spencer-Smith Douglas C. Schmidt LLMAG 144 1,116 0 21 Feb 2023
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? Weijia Shi Xiaochuang Han Hila Gonen Ari Holtzman Yulia Tsvetkov Luke Zettlemoyer 91 42 0 20 Dec 2022
Large Language Models Are Human-Level Prompt Engineers Yongchao Zhou Andrei Ioan Muresanu Ziwen Han Keiran Paster Silviu Pitis Harris Chan Jimmy Ba ALM LLMAG 183 895 0 03 Nov 2022
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers Elias Frantar Saleh Ashkboos Torsten Hoefler Dan Alistarh MQ 140 1,005 0 31 Oct 2022
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning Mingkai Deng Jianyu Wang Cheng-Ping Hsieh Yihan Wang Han Guo Tianmin Shu Meng Song Eric Xing Zhiting Hu 91 343 0 25 May 2022
Training Verifiers to Solve Math Word Problems K. Cobbe V. Kosaraju Mohammad Bavarian Mark Chen Heewoo Jun ... Jerry Tworek Jacob Hilton Reiichiro Nakano Christopher Hesse John Schulman ReLM OffRL LRM 342 4,569 0 27 Oct 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 224 3,989 0 28 Jul 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 409 1,194 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 584 4,084 0 18 Apr 2021
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts Guanghui Qin J. Eisner 63 547 0 14 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 250 4,299 0 01 Jan 2021
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 877 42,379 0 28 May 2020
How Can We Know What Language Models Know? Zhengbao Jiang Frank F. Xu Jun Araki Graham Neubig KELM 144 1,409 0 28 Nov 2019
When Choosing Plausible Alternatives, Clever Hans can be Clever Pride Kavumba Naoya Inoue Benjamin Heinzerling Keshav Singh Paul Reisert Kentaro Inui 38 53 0 01 Nov 2019
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 208 1,102 0 04 Jul 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 786 132,363 0 12 Jun 2017
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 227 2,334 0 21 Mar 2016
Character-level Convolutional Networks for Text Classification Xiang Zhang Jiaqi Zhao Yann LeCun 268 6,130 0 04 Sep 2015
Non-stochastic Best Arm Identification and Hyperparameter Optimization Kevin Jamieson Ameet Talwalkar 210 580 0 27 Feb 2015
ParamILS: An Automatic Algorithm Configuration Framework Frank Hutter Thomas Stuetzle Kevin Leyton-Brown T. Stützle 90 1,067 0 15 Jan 2014