ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2505.21775
  4. Cited By
DualSchool: How Reliable are LLMs for Optimization Education?

DualSchool: How Reliable are LLMs for Optimization Education?

27 May 2025
Michael Klamkin
Arnaud Deza
Sikai Cheng
Haoruo Zhao
Pascal Van Hentenryck
ArXiv (abs)PDFHTML

Papers citing "DualSchool: How Reliable are LLMs for Optimization Education?"

14 / 14 papers shown
Title
MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors
MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors
Jakub Macina
Nico Daheim
Ido Hakimi
Manu Kapur
Iryna Gurevych
Mrinmaya Sachan
ELM
117
4
0
26 Feb 2025
Decision Information Meets Large Language Models: The Future of Explainable Operations Research
Decision Information Meets Large Language Models: The Future of Explainable Operations Research
Yansen Zhang
Qingcan Kang
Wing-Yin Yu
Hailei Gong
Xiaojin Fu
Xiongwei Han
Tao Zhong
Chen Ma
OffRL
162
2
0
14 Feb 2025
LLMs for Cold-Start Cutting Plane Separator Configuration
LLMs for Cold-Start Cutting Plane Separator Configuration
Connor Lawless
Yingxi Li
Anders Wikum
Madeleine Udell
Ellen Vitercik
99
2
0
16 Dec 2024
OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale
OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale
Ali AhmadiTeshnizi
Wenzhi Gao
Herman Brunborg
Shayan Talaei
Connor Lawless
Madeleine Udell
129
5
0
29 Jul 2024
RLSF: Fine-tuning LLMs via Symbolic Feedback
RLSF: Fine-tuning LLMs via Symbolic Feedback
Piyush Jha
Prithwish Jana
Pranavkrishna Suresh
Arnav Arora
Vijay Ganesh
LRM
83
4
0
26 May 2024
"I Want It That Way": Enabling Interactive Decision Support Using Large
  Language Models and Constraint Programming
"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
77
13
0
12 Dec 2023
Large Language Models as Optimizers
Large Language Models as Optimizers
Chengrun Yang
Xuezhi Wang
Yifeng Lu
Hanxiao Liu
Quoc V. Le
Denny Zhou
Xinyun Chen
ODL
131
431
0
07 Sep 2023
Diagnosing Infeasible Optimization Problems Using Large Language Models
Diagnosing Infeasible Optimization Problems Using Large Language Models
Hao Chen
Gonzalo E. Constante-Flores
Canzhou Li
AI4CE
105
21
0
23 Aug 2023
Holy Grail 2.0: From Natural Language to Constraint Models
Holy Grail 2.0: From Natural Language to Constraint Models
Dimosthenis C. Tsouros
Hélène Verhaeghe
Serdar Kadiouglu
Tias Guns
93
16
0
03 Aug 2023
Synthesis of Mathematical programs from Natural Language Specifications
Synthesis of Mathematical programs from Natural Language Specifications
G. Prasath
Shirish S. Karande
74
9
0
30 Mar 2023
NL4Opt Competition: Formulating Optimization Problems Based on Their
  Natural Language Descriptions
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions
Rindranirina Ramamonjison
Timothy T. Yu
Raymond Li
Haley Li
Giuseppe Carenini
...
Shiqi He
Mahdi Mostajabdaveh
Amin Banitalebi-Dehkordi
Zirui Zhou
Yong Zhang
84
42
0
14 Mar 2023
Augmenting Operations Research with Auto-Formulation of Optimization
  Models from Problem Descriptions
Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions
Rindranirina Ramamonjison
Haley Li
Timothy T. Yu
Shiqi He
Vishnu Rengan
Amin Banitalebi-Dehkordi
Zirui Zhou
Yong Zhang
76
35
0
30 Sep 2022
Hybrid Models for Learning to Branch
Hybrid Models for Learning to Branch
Prateek Gupta
Maxime Gasse
Elias Boutros Khalil
M. P. Kumar
Andrea Lodi
Yoshua Bengio
GNN
180
126
0
26 Jun 2020
Exact Combinatorial Optimization with Graph Convolutional Neural
  Networks
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Maxime Gasse
Didier Chételat
Nicola Ferroni
Laurent Charlin
Andrea Lodi
GNNCML
145
489
0
04 Jun 2019
1