Training LLMs for Optimization Modeling via Iterative Data Synthesis and Structured Validation (2025.findings-emnlp)
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| Challenge: | Large Language Models (LLMs) are a promising tool for OR, but they face challenges when dealing with complex problems. |
| Approach: | They propose a framework that augments existing datasets and generates high-quality fine-tuning data tailored to OR. |
| Outcome: | The proposed framework augments existing datasets and generates high-quality fine-tuning data . it prevents error propagation and ensures the quality of the generated dataset . |
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