Generalizable Heuristic Generation Through Large Language Models with Meta-Optimization

27 May 2025

Papers citing "Generalizable Heuristic Generation Through Large Language Models with Meta-Optimization"

22 / 22 papers shown

Title
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization Weiwei Sun Shengyu Feng Shanda Li Yiming Yang LLMAG 58 4 0 06 Apr 2025
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems Ziwei Huang Jianan Zhou Zhiguang Cao Yixin Xu 54 3 0 02 Mar 2025
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale Anton Andreychuk Konstantin Yakovlev Aleksandr I. Panov A. Skrynnik AI4CE 88 4 0 29 Aug 2024
GOAL: A Generalist Combinatorial Optimization Agent Learner Darko Drakulic Sofia Michel J. Andreoli 54 8 0 21 Jun 2024
A Survey on Large Language Models for Code Generation Juyong Jiang Fan Wang Jiasi Shen Sungju Kim Sunghun Kim 87 176 0 01 Jun 2024
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts Jianan Zhou Zhiguang Cao Yaoxin Wu Wen Song Yining Ma Jie Zhang Chi Xu 82 22 0 02 May 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization Minsu Kim Sanghyeok Choi Hyeon-Seob Kim Jiwoo Son Jinkyoo Park Yoshua Bengio 61 28 0 11 Mar 2024
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes Lizhou Fan Wenyue Hua Lingyao Li Haoyang Ling Yongfeng Zhang LRM 33 51 0 22 Dec 2023
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization Fu Luo Xi Lin Fei Liu Qingfu Zhang Zhenkun Wang 48 66 0 12 Oct 2023
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy Chengrui Gao Haopu Shang Ke Xue Dong Li Chao Qian 43 28 0 27 Aug 2023
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark Federico Berto Chuanbo Hua J. Park Laurin Luttmann Yining Ma ... Guojie Song Changhyun Kwon Kevin Tierney Lin Xie Jinkyoo Park OffRL 63 29 0 29 Jun 2023
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems Jianan Zhou Yaoxin Wu Wen Song Zhiguang Cao Jie Zhang 69 48 0 31 May 2023
Large Language Models Can Self-Improve Jiaxin Huang S. Gu Le Hou Yuexin Wu Xuezhi Wang Hongkun Yu Jiawei Han ReLM AI4MH LRM 76 594 0 20 Oct 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 492 9,009 0 28 Jan 2022
Matrix Encoding Networks for Neural Combinatorial Optimization Yeong-Dae Kwon Jinho Choo Iljoo Yoon Minah Park Duwon Park Youngjune Gwon 38 91 0 21 Jun 2021
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning Yeong-Dae Kwon Jinho Choo Byoungjip Kim Iljoo Yoon Youngjune Gwon Seungjai Min 39 325 0 30 Oct 2020
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 303 41,106 0 28 May 2020
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 117 1,367 0 15 Nov 2018
Attention, Learn to Solve Routing Problems! W. Kool H. V. Hoof Max Welling 54 1,193 0 22 Mar 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 211 129,831 0 12 Jun 2017
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 89 1,472 0 29 Nov 2016
Pointer Networks Oriol Vinyals Meire Fortunato Navdeep Jaitly 57 3,036 0 09 Jun 2015