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LLaMoCo: Instruction Tuning of Large Language Models for Optimization
  Code Generation

LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

2 March 2024
Zeyuan Ma
Hongshu Guo
Jiacheng Chen
Guojun Peng
Zhiguang Cao
Yining Ma
Yue-jiao Gong
    SyDa
    ALM
ArXivPDFHTML

Papers citing "LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation"

13 / 13 papers shown
Title
Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning
Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning
Hongshu Guo
Sijie Ma
Zechuan Huang
Yuzhi Hu
Zeyuan Ma
Xinglin Zhang
Yue-jiao Gong
47
2
0
23 Mar 2025
Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning
Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning
Zeyuan Ma
Hongqiao Lian
Wenjie Qiu
Yue-jiao Gong
51
1
0
23 Mar 2025
Large Language Models for Code Generation: A Comprehensive Survey of Challenges, Techniques, Evaluation, and Applications
Large Language Models for Code Generation: A Comprehensive Survey of Challenges, Techniques, Evaluation, and Applications
Nam Huynh
Beiyu Lin
LM&MA
72
16
0
03 Mar 2025
Planning of Heuristics: Strategic Planning on Large Language Models with Monte Carlo Tree Search for Automating Heuristic Optimization
Planning of Heuristics: Strategic Planning on Large Language Models with Monte Carlo Tree Search for Automating Heuristic Optimization
Chaoxu Mu
Xufeng Zhang
Hui Wang
38
0
0
17 Feb 2025
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask
  Reinforcement Learning
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning
Hongshu Guo
Zeyuan Ma
Jiacheng Chen
Yining Ma
Zhiguang Cao
Xinglin Zhang
Yue-jiao Gong
80
3
0
10 Dec 2024
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
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
98
2
0
01 Nov 2024
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch
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
34
1
0
17 Oct 2024
LLASP: Fine-tuning Large Language Models for Answer Set Programming
LLASP: Fine-tuning Large Language Models for Answer Set Programming
Erica Coppolillo
Francesco Calimeri
Giuseppe Manco
S. Perri
Francesco Ricca
24
0
0
26 Jul 2024
Trace is the New AutoDiff -- Unlocking Efficient Optimization of
  Computational Workflows
Trace is the New AutoDiff -- Unlocking Efficient Optimization of Computational Workflows
Ching-An Cheng
Allen Nie
Adith Swaminathan
AI4CE
26
1
0
23 Jun 2024
Metaheuristics and Large Language Models Join Forces: Toward an Integrated Optimization Approach
Metaheuristics and Large Language Models Join Forces: Toward an Integrated Optimization Approach
Camilo Chacón Sartori
Christian Blum
Filippo Bistaffa
Guillem Rodríguez Corominas
AIFin
44
3
0
28 May 2024
Training language models to follow instructions with human feedback
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
301
11,730
0
04 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 2021
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
275
1,561
0
18 Sep 2019
1