An LLM framework that couples what-if analysis with graph edit distance on linear programs can generate more accurate and more detailed explanations for operations research queries than existing LLM baselines.
The effect of explanations on trust in an assistance system for public transport users and the role of the propensity to trust
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Decision Information Meets Large Language Models: The Future of Explainable Operations Research
An LLM framework that couples what-if analysis with graph edit distance on linear programs can generate more accurate and more detailed explanations for operations research queries than existing LLM baselines.