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Ensuring Logical Precision in AI-Generated Optimization Models with Semantic Alignment

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The Iterative Advantage: Implicit Models and Their Growing Expressive Capabilities

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OR-Toolformer: Advancing Operations Research with Tool-Augmented Language Models

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ViTSP: A Hybrid AI Framework for Large-Scale Traveling Salesman Problems

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Large Language Models Reshaping Operations Research: A Comprehensive Overview

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Enhancing Facility Layout Problem Solving with AI-Powered Knowledge Graphs

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DISPLIB: A Unified Approach to Train Dispatching Optimization

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Optimizing Industrial Scheduling: A Novel DRL Environment for Flexible Job-Shops

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Smart Supply Chains: How AI Makes Optimization Clear and Interactive

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Bridging Language and Logic: How AI Models Tackle Complex Optimization Problems

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Unlocking Stochastic Optimization: How LLMs Are Learning to Model Uncertainty

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Streamlining Optimization Modeling with AI: A New Framework for Complex Problem Solving

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Large Language Models Reshape Optimization Modeling

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OptiTrust: Building Reliable AI Agents for Optimization Modeling with Verifiable Data

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Streamlining Aircraft Maintenance: A Continuous-Time Approach to Hangar Management

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ReflecSched: Enhancing Factory Scheduling with LLM-Powered Strategic Reflection

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Simplifying Operations Management with AI-Powered Chat Interfaces

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IIT Bombay Unveils Advanced Certificate Program in AI and ML-Powered Supply Chain Analytics

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Optimizing Meat Production: An Iterative Approach to Purchase and Processing Efficiency

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Advancing AI for Dynamic Programming: A New Model and Data Generation Approach

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