Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2403.11446
Cited By
LLM Guided Evolution -- The Automation of Models Advancing Models
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2024
18 March 2024
Clint Morris
Michael Jurado
Jason Zutty
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"LLM Guided Evolution -- The Automation of Models Advancing Models"
13 / 13 papers shown
Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models
Jie Zhao
Kang Hao Cheong
OffRL
146
0
0
24 Oct 2025
EvoCAD: Evolutionary CAD Code Generation with Vision Language Models
Tobias Preintner
Weixuan Yuan
Adrian König
Thomas Bäck
Elena Raponi
Niki van Stein
127
0
0
13 Oct 2025
GeoEvolve: Automating Geospatial Model Discovery via Multi-Agent Large Language Models
Peng Luo
Xiayin Lou
Yu Zheng
Zhuo Zheng
Stefano Ermon
LLMAG
133
0
0
25 Sep 2025
A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving
Yisong Zhang
Ran Cheng
Guoxing Yi
Kay Chen Tan
OffRL
323
6
0
10 Sep 2025
XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML
Ernesto L. Estevanell-Valladares
Suilan Estevez-Velarde
Yoan Gutiérrez
Andrés Montoyo
Ruslan Mitkov
154
0
0
30 Jul 2025
AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
Fali Wang
Hui Liu
Zhenwei Dai
Jingying Zeng
Zhiwei Zhang
...
Chen Luo
Zhen Li
Xianfeng Tang
Qi He
Suhang Wang
LLMAG
248
8
0
26 Jul 2025
AlphaEvolve: A coding agent for scientific and algorithmic discovery
Alexander Novikov
Ngan Vu
Marvin Eisenberger
Emilien Dupont
Po-Sen Huang
...
George Holland
Alex Davies
Sebastian Nowozin
Pushmeet Kohli
Matej Balog
254
206
0
16 Jun 2025
iDSE: Navigating Design Space Exploration in High-Level Synthesis Using LLMs
Runkai Li
Jia Xiong
Xi Wang
278
1
0
28 May 2025
Visual Evolutionary Optimization on Graph-Structured Combinatorial Problems with MLLMs: A Case Study of Influence Maximization
IEEE Transactions on Evolutionary Computation (IEEE Trans. Evol. Comput.), 2025
Jie Zhao
Kang Hao Cheong
OffRL
495
2
0
11 May 2025
Meta-Optimization and Program Search using Language Models for Task and Motion Planning
Denis Shcherba
Eckart Cobo-Briesewitz
Cornelius V. Braun
Marc Toussaint
LM&Ro
LRM
427
1
0
06 May 2025
LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection
YiMing Yu
Jason Zutty
219
6
0
03 Apr 2025
Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey
Yang Gu
Hengyu You
Jian Cao
Muran Yu
Haoran Fan
Shiyou Qian
LM&MA
AI4CE
415
11
0
11 Nov 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
547
126
0
18 Jan 2024
1
Page 1 of 1
