LLM-Meta-SR: Learning to Evolve Selection Operators for Symbolic Regression

24 May 2025

Papers citing "LLM-Meta-SR: Learning to Evolve Selection Operators for Symbolic Regression"

22 / 22 papers shown

Title
Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models Xuan Wu Di Wang Chunguo Wu Lijie Wen Chunyan Miao Yubin Xiao You Zhou 90 2 0 19 May 2025
CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic Design Ziyao Huang Weiwei Wu Kui Wu Jianping Wang Wei-Bin Lee 33 1 0 18 May 2025
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning Anja Surina Amin Mansouri Lars Quaedvlieg Amal Seddas Maryna Viazovska Emmanuel Abbe Çağlar Gülçehre 88 2 0 07 Apr 2025
Decision Tree Induction Through LLMs via Semantically-Aware Evolution Tennison Liu Nicolas Huynh M. Schaar 79 3 0 18 Mar 2025
From Understanding to Excelling: Template-Free Algorithm Design through Structural-Functional Co-Evolution Zhe Zhao Haibin Wen Peng Wang Ye Wei Zaixi Zhang ... Fei Liu Bo An Hui Xiong Yang Wang Qingfu Zhang 92 1 0 13 Mar 2025
Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection Alina Geiger Martin Briesch Dominik Sobania Franz Rothlauf 107 1 0 25 Feb 2025
Search Strategy Generation for Branch and Bound Using Genetic Programming Gwen Maudet Grégoire Danoy 104 2 0 12 Dec 2024
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length Zihan Yu Jingtao Ding Yong Li 157 2 0 06 Nov 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 113 6 0 17 Oct 2024
Multi-objective Evolution of Heuristic Using Large Language Model Shunyu Yao Fei Liu Xi Lin Zhichao Lu Zhenkun Wang Qingfu Zhang 62 12 0 25 Sep 2024
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics Niki van Stein Thomas Bäck 83 17 0 30 May 2024
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models Parshin Shojaee Kazem Meidani Shashank Gupta A. Farimani Chandan K. Reddy 145 20 0 29 Apr 2024
Minimum variance threshold for epsilon-lexicase selection Guilherme Seidyo Imai Aldeia F. O. D. França William La Cava 55 1 0 08 Apr 2024
Large Language Models as Evolutionary Optimizers Shengcai Liu Caishun Chen Xinghua Qu Jiaheng Zhang Yew-Soon Ong 72 105 0 29 Oct 2023
Symbolic Discovery of Optimization Algorithms Xiangning Chen Chen Liang Da Huang Esteban Real Kaiyuan Wang ... Xuanyi Dong Thang Luong Cho-Jui Hsieh Yifeng Lu Quoc V. Le 152 377 0 13 Feb 2023
Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving Ryan Boldi Martin Briesch Dominik Sobania Alexander Lalejini Thomas Helmuth Franz Rothlauf Charles Ofria Lee Spector 93 23 0 04 Jan 2023
End-to-end symbolic regression with transformers Pierre-Alexandre Kamienny Stéphane dÁscoli Guillaume Lample Franccois Charton 94 173 0 22 Apr 2022
Contemporary Symbolic Regression Methods and their Relative Performance William La Cava Patryk Orzechowski Bogdan Burlacu Fabrício Olivetti de Francca M. Virgolin Ying Jin M. Kommenda J. Moore 185 261 0 29 Jul 2021
Neural Symbolic Regression that Scales Luca Biggio Tommaso Bendinelli Alexander Neitz Aurelien Lucchi Giambattista Parascandolo 91 179 0 11 Jun 2021
Evolving Continuous Optimisers from Scratch M. Lones 67 11 0 22 Mar 2021
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis Shuo Ren Daya Guo Shuai Lu Long Zhou Shujie Liu Duyu Tang Neel Sundaresan M. Zhou Ambrosio Blanco Shuai Ma ELM 112 542 0 22 Sep 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch Esteban Real Chen Liang David R. So Quoc V. Le 77 225 0 06 Mar 2020