AI Research
VeriSimpl: Robust Optimization Modeling from Natural Language using Simplification-based Verification
Natural language interfaces can greatly benefit the accessibility and usability of optimization modeling, and recent advances in large language models (LLMs) show promise in automatically translating textual problem descriptions into executable solver formulations. However, a key...
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ArXiv CS.AI
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ArXiv CS.AI
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VeriSimpl tackles a critical gap in AI-driven optimization by introducing a verification method that leverages the solver itself to ensure accuracy. This approach moves beyond simply executing natural language prompts to guaranteeing the correctness and robustness of generated optimization models.
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