OR for AI That Does OR: Routing LLMs up the Escalator inside the OSCAR Framework
cs.AI, math.OC
Submitted: 2026-10-01
Updated: 2026-10-01
Code: https://github.com/Sandrone-lab/OSCAR
Sources
- OptiRepair: Closed-Loop Diagnosis and Repair of Supply Chain Optimization Models with LLM Agents
- Automated Reformulation of Robust Optimization via Memory-Augmented Large Language Models
- TriVAL: A Tri-Validation Framework for Faithful Automatic Optimization Modeling
- FrontierOR: Benchmarking LLMs' Capacity for Efficient Algorithm Design in Large-Scale Optimization
- ReLoop: Structured Modeling and Behavioral Verification for Reliable LLM-Based Optimization
- Large-Scale Optimization Model Auto-Formulation: Harnessing LLM Flexibility via Structured Workflow
- Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on Vehicle Routing Problems
- CP-SynC: Multi-Agent Zero-Shot Constraint Modeling in MiniZinc with Synthesized Checkers
- Auto-Formulating Dynamic Programming Problems with Large Language Models
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