PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models

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PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models

22 May 2025

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Papers citing "PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models"

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Title
Beyond Elicitation: Provision-based Prompt Optimization for Knowledge-Intensive Tasks Yunzhe Xu Zhuosheng Zhang Zhe Liu 157 0 0 13 Nov 2025
Self-Supervised Prompt Optimization Jinyu Xiang Jiayi Zhang Quan Shi Xinbing Liang Jinhao Tu ... Fashen Ren Xiangru Tang Sirui Hong Chenglin Wu Yuyu Luo OffRL LRM 427 22 0 07 Feb 2025
How to Correctly do Semantic Backpropagation on Language-based Agentic Systems Wenyi Wang Hisham A. Alyahya Dylan R. Ashley Oleg Serikov Dmitrii Khizbullin Francesco Faccio Jürgen Schmidhuber 249 7 0 04 Dec 2024
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional StimuliInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Xu Wang Cheng-rong Li Yi-Ju Chang Yongfeng Zhang Yuan Wu 321 15 0 05 May 2024
Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators Yann Dubois Balázs Galambosi Abigail Z. Jacobs Tatsunori Hashimoto ALM 442 582 0 06 Apr 2024
Aligning and Prompting Everything All at Once for Universal Visual PerceptionComputer Vision and Pattern Recognition (CVPR), 2023 Chunjiang Ge Chaoyou Fu Peixian Chen Mengdan Zhang Ke Li Xing Sun Yunsheng Wu Shaohui Lin Rongrong Ji VLM ObjD 255 63 0 04 Dec 2023
TextGuard: Provable Defense against Backdoor Attacks on Text Classification Hengzhi Pei Jinyuan Jia Wenbo Guo Yue Liu Dawn Song SILM 235 20 0 19 Nov 2023
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves Yihe Deng Weitong Zhang Zixiang Chen Quanquan Gu LRM 430 128 0 07 Nov 2023
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training Jiale Cheng Xiao Liu Kehan Zheng Pei Ke Hongning Wang Yuxiao Dong Jie Tang Shiyu Huang 241 125 0 07 Nov 2023
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt OptimizationInternational Conference on Learning Representations (ICLR), 2023 Xinyuan Wang Chenxi Li Zhen Wang Fan Bai Haotian Luo Jiayou Zhang Nebojsa Jojic Eric P. Xing Zhiting Hu 413 184 0 25 Oct 2023
Promptbreeder: Self-Referential Self-Improvement Via Prompt EvolutionInternational Conference on Machine Learning (ICML), 2023 Chrisantha Fernando Dylan Banarse Henryk Michalewski Simon Osindero Tim Rocktaschel LLMAG ReLM LRM 274 324 0 28 Sep 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot ArenaNeural Information Processing Systems (NeurIPS), 2023 Lianmin Zheng Wei-Lin Chiang Ying Sheng Siyuan Zhuang Zhanghao Wu ... Dacheng Li Eric Xing Haotong Zhang Joseph E. Gonzalez Ion Stoica ALM OSLM ELM 2.7K 6,354 0 09 Jun 2023
Large Language Models Are Human-Level Prompt EngineersInternational Conference on Learning Representations (ICLR), 2022 Yongchao Zhou Andrei Ioan Muresanu Ziwen Han Keiran Paster Silviu Pitis Harris Chan Jimmy Ba ALM LLMAG 425 1,143 0 03 Nov 2022
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Mirac Suzgun Nathan Scales Nathanael Scharli Sebastian Gehrmann Yi Tay ... Aakanksha Chowdhery Quoc V. Le Ed H. Chi Denny Zhou Jason W. Wei ALM ELM LRM ReLM 510 1,514 0 17 Oct 2022
Language Models are Few-Shot LearnersNeural Information Processing Systems (NeurIPS), 2020 Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 2.0K 51,623 0 28 May 2020
Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems Wang Ling Dani Yogatama Chris Dyer Phil Blunsom AIMat 434 862 0 11 May 2017