mlsanityData to 7 Oct 2026

Abstract Operations Research Modeling Using Natural Language Inputs

arXiv 2408.07272 ↗First posted 14 Aug 2024cs.AI cs.HCcited by 4

Not on the map. Why?

Abstract (arXiv)

Operations research (OR) uses mathematical models to enhance decision-making, but developing these models requires expert knowledge and can be time-consuming. Automated mathematical programming (AMP) has emerged to simplify this process, but existing systems have limitations. This paper introduces a novel methodology that uses recent advances in Large Language Model (LLM) to create and edit OR solutions from non-expert user queries expressed using Natural Language. This reduces the need for domain expertise and the time to formulate a problem. The paper presents an end-to-end pipeline, named NL2OR, that generates solutions to OR problems from natural language input, and shares experimental results on several important OR problems.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 24 of its 32 references that are in the map. First posted on arXiv 14 Aug 2024.

Builds on

24 of 32 references.

References · 24

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2020Language Models are Few-Shot Learnerscited by 32,199
  4. 2023GPT-4 Technical Reportcited by 18,132
  5. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  6. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
  7. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  8. 2022Self-Consistency Improves Chain of Thought Reasoning in Language Modelscited by 5,601
  9. 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,304
  10. 2022OPT: Open Pre-trained Transformer Language Modelscited by 3,464
  11. 2023Tree of Thoughts: Deliberate Problem Solving with Large Language Modelscited by 3,155
  12. 2023A Survey of Large Language Modelscited by 2,537
12 more
  1. 2022Emergent Abilities of Large Language Modelscited by 2,483
  2. 2023Graph of Thoughts: Solving Elaborate Problems with Large Language Modelscited by 873
  3. 2023Large Language Models as Optimizerscited by 830
  4. 2020Solving Mixed Integer Programs Using Neural Networkscited by 178
  5. 2023Progressive-Hint Prompting Improves Reasoning in Large Language Modelscited by 147
  6. 2024OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Modelscited by 105
  7. 2023Large Language Models for Supply Chain Optimizationcited by 61
  8. 2022Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptionscited by 54
  9. 2022A Survey for Solving Mixed Integer Programming via Machine Learningcited by 44
  10. 2023Holy Grail 2.0: From Natural Language to Constraint Modelscited by 24
  11. 2024Solving General Natural-Language-Description Optimization Problems with Large Language Modelscited by 22
  12. 2023Synthesis of Mathematical programs from Natural Language Specificationscited by 8

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 1.

4 papers.

  1. 2025A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solvingcited by 9
  2. 2025Large Language Models in Operations Research: Methods, Applications, and Challengescited by 4
  3. 2026ORPilot: A Production-Oriented Agentic LLM-for-OR Tool for Optimization Modelingcited by 2
  4. 2025Teaching LLMs to Think Mathematically: A Critical Study of Decision-Making via Optimizationcited by 1