AI Research
PEARL: Solver-in-the-Loop Interactive Optimization Modeling from Natural Language
Bridging the gap between natural language and executable solver code through iterative, feedback-driven optimization.
Optimization modeling is the process of translating real-world decision problems, often described in natural language, into formal mathematical formulations and executable solver code. While recent advances in large language models have shown promise in automating this process, m...
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ArXiv CS.AI
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ArXiv CS.AI
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PEARL transforms optimization modeling from a static guess into an iterative, self-correcting process that mimics professional developer workflows. By integrating real-time solver feedback, even compact models can now outperform massive language models on complex mathematical programming tasks.
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