InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators

26 October 2023

Papers citing "InstOptima: Evolutionary Multi-objective Instruction Optimization via Large Language Model-based Instruction Operators"

21 / 21 papers shown

Title
Automatic Prompt Optimization via Heuristic Search: A Survey Wendi Cui Jiaxin Zhang Zechao Li Hao Sun Damien Lopez Kamalika Das Bradley Malin Sricharan Kumar 34 1 0 26 Feb 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers Xinyu Tang Xiaolei Wang Wayne Xin Zhao Siyuan Lu Yaliang Li Ji-Rong Wen LRM 56 14 0 28 Jan 2025
MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning Jiaxin Chen Jinliang Ding Kay Chen Tan Jiancheng Qian Ke Li 40 1 0 10 Nov 2024
Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms He Yu Jiaheng Liu 46 2 0 28 Oct 2024
TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing Prompts Yuxuan Xie Tianhua Li Wenqi Shao Kaipeng Zhang 25 0 0 23 Oct 2024
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch Caigao Jiang Xiang Shu Hong Qian Xingyu Lu Jun-ping Zhou Aimin Zhou Yang Yu 39 1 0 17 Oct 2024
Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution Ankita Sinha Wendi Cui Kamalika Das Jiaxin Zhang AAML 28 2 0 12 Oct 2024
EPiC: Cost-effective Search-based Prompt Engineering of LLMs for Code Generation Hamed Taherkhani Melika Sepindband Hung Viet Pham Song Wang Hadi Hemmati 20 2 0 20 Aug 2024
LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking Melvin Wong Jiao Liu Thiago Rios Stefan Menzel Yew-Soon Ong 57 2 0 21 Jun 2024
When Large Language Model Meets Optimization Sen Huang Kaixiang Yang Sheng Qi Rui Wang 55 8 0 16 May 2024
A Survey of Decomposition-Based Evolutionary Multi-Objective Optimization: Part I-Past and Future Ke Li 26 0 0 22 Apr 2024
Multi-Fidelity Methods for Optimization: A Survey Ke Li Fan Li AI4CE 35 6 0 15 Feb 2024
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap Xingyu Wu Sheng-hao Wu Jibin Wu Liang Feng Kay Chen Tan ELM 51 59 0 18 Jan 2024
Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning Ke Li Han Guo 23 0 0 04 Jan 2024
Evolutionary Alternating Direction Method of Multipliers for Constrained Multi-Objective Optimization with Unknown Constraints Shuang Li Ke Li Wei Li Ming Yang 25 6 0 02 Jan 2024
Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker Sukmin Cho Soyeong Jeong Jeongyeon Seo Jong C. Park OffRL 62 23 0 23 May 2023
Poisoning Language Models During Instruction Tuning Alexander Wan Eric Wallace Sheng Shen Dan Klein SILM 104 186 0 01 May 2023
Instruction Induction: From Few Examples to Natural Language Task Descriptions Or Honovich Uri Shaham Samuel R. Bowman Omer Levy ELM LRM 120 137 0 22 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 339 12,003 0 04 Mar 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,858 0 18 Apr 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018