Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive
Algorithm Representation

Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation

22 November 2023

Kay Chen Tan

Papers citing "Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation"

16 / 16 papers shown

Title
MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization Zeyuan Ma Yue-Jiao Gong Hongshu Guo Wenjie Qiu Sijie Ma ... Zhiyang Huang Zechuan Huang Guojun Peng Ran Cheng Yining Ma OffRL 49 0 0 23 May 2025
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization Zeyuan Ma Hongshu Guo Yue-Jiao Gong Jun Zhang Kay Chen Tan 271 4 0 01 Nov 2024
Neural Solver Selection for Combinatorial Optimization Chengrui Gao Haopu Shang Ke Xue Chao Qian 59 0 0 13 Oct 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 85 70 0 18 Jan 2024
Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems M. Seiler P. Kerschke Heike Trautmann 33 6 0 02 Jan 2024
HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection Lukas Fehring Jonas Hanselle Alexander Tornede 26 6 0 31 Oct 2022
Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches M. Alissa Kevin Sim E. Hart 35 17 0 24 Mar 2022
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 205 5,513 0 07 Jul 2021
GraphCodeBERT: Pre-training Code Representations with Data Flow Daya Guo Shuo Ren Shuai Lu Zhangyin Feng Duyu Tang ... Dawn Drain Neel Sundaresan Jian Yin Daxin Jiang M. Zhou 132 1,128 0 17 Sep 2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages Zhangyin Feng Daya Guo Duyu Tang Nan Duan Xiaocheng Feng ... Linjun Shou Bing Qin Ting Liu Daxin Jiang Ming Zhou 151 2,613 0 19 Feb 2020
Size-Independent Sample Complexity of Neural Networks Noah Golowich Alexander Rakhlin Ohad Shamir 149 547 0 18 Dec 2017
Probabilistic Matrix Factorization for Automated Machine Learning Nicolò Fusi Rishit Sheth Melih Elibol 51 135 0 15 May 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 299 5,364 0 03 Nov 2016
ASlib: A Benchmark Library for Algorithm Selection B. Bischl P. Kerschke Lars Kotthoff Marius Lindauer Y. Malitsky ... Holger Hoos Frank Hutter Kevin Leyton-Brown Kevin Tierney Joaquin Vanschoren 52 222 0 08 Jun 2015
Algorithm Runtime Prediction: Methods & Evaluation Frank Hutter Lin Xu Holger H. Hoos Kevin Leyton-Brown 65 419 0 05 Nov 2012
SATzilla: Portfolio-based Algorithm Selection for SAT Lin Xu Frank Hutter Holger H. Hoos Kevin Leyton-Brown 98 975 0 31 Oct 2011