Augmenting Operations Research with Auto-Formulation of Optimization
Models from Problem Descriptions

Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions

30 September 2022

Rindranirina Ramamonjison

Amin Banitalebi-Dehkordi

Yong Zhang

Papers citing "Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions"

6 / 6 papers shown

Title
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Wenhao Li Bo Jin Mingyi Hong Changhong Lu Xiangfeng Wang 40 0 0 07 May 2025
"I Want It That Way": Enabling Interactive Decision Support Using Large Language Models and Constraint Programming Connor Lawless Jakob Schoeffer Lindy Le Kael Rowan Shilad Sen Cristina St. Hill Jina Suh Bahar Sarrafzadeh 33 8 0 12 Dec 2023
Holy Grail 2.0: From Natural Language to Constraint Models Dimosthenis C. Tsouros Hélène Verhaeghe Serdar Kadiouglu Tias Guns 11 10 0 03 Aug 2023
A Novel Approach for Auto-Formulation of Optimization Problems Yuting Ning Jia-Yin Liu Longhu Qin Tong Xiao Shan Xue Zhenya Huang Qi Liu Enhong Chen Jinze Wu 8 9 0 09 Feb 2023
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models Torsten Scholak Nathan Schucher Dzmitry Bahdanau 143 373 0 10 Sep 2021
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,687 0 17 Aug 2015