Abstract Operations Research Modeling Using Natural Language Inputs
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| Publicat a: | Information vol. 16, no. 2 (2025), p. 128 |
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| Autor principal: | |
| Altres autors: | , , , |
| Publicat: |
MDPI AG
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| Accés en línia: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 022 | |a 2078-2489 | ||
| 024 | 7 | |a 10.3390/info16020128 |2 doi | |
| 035 | |a 3170979808 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231474 |2 nlm | ||
| 100 | 1 | |a Li, Junxuan | |
| 245 | 1 | |a Abstract Operations Research Modeling Using Natural Language Inputs | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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 a large language model (LLM) to create and edit abstract OR models from non-expert user queries expressed using natural language. This reduces the need for domain expertise and the time to formulate a problem, and an abstract OR model generated can be deployed to a multi-tenant platform to support a class of users with different input data. This 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. | |
| 653 | |a Mathematical programming | ||
| 653 | |a Problem solving | ||
| 653 | |a Language | ||
| 653 | |a Scheduling | ||
| 653 | |a Integer programming | ||
| 653 | |a User needs | ||
| 653 | |a Large language models | ||
| 653 | |a Concrete | ||
| 653 | |a Optimization | ||
| 653 | |a Decision making | ||
| 653 | |a Natural language processing | ||
| 653 | |a Automation | ||
| 653 | |a Queries | ||
| 653 | |a Order processing | ||
| 700 | 1 | |a Wickman, Ryan | |
| 700 | 1 | |a Bhatnagar, Sahil | |
| 700 | 1 | |a Maity, Raj Kumar | |
| 700 | 1 | |a Mukherjee, Arko | |
| 773 | 0 | |t Information |g vol. 16, no. 2 (2025), p. 128 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3170979808/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
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| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3170979808/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |