little m: An AI Agent for Industrial Process Optimization

arXiv:2609.16680 · cs.AI · Submitted 2026-09-15 · Read on arXiv

cs.AI

Submitted: 2026-09-15

Updated: 2026-09-16

Code: https://github.com/yeyongchao/process-modeling-benchmark

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Objective Function — 21× in this paper · explained in 2 episodes
• Benchmark — 16× in this paper · explained in 2 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Core — 9× in this paper · explained in 2 episodes
• Alignment — 8× in this paper · explained in 1 episode
• Operations Research — 7× in this paper
• Ablation — 6× in this paper · explained in 1 episode
• Grounding — 5× in this paper · explained in 3 episodes
• Trace — 5× in this paper · explained in 2 episodes
• Digital Twin — 4× in this paper · explained in 5 episodes
• Large Language Models (LLMs) — 4× in this paper · explained in 6 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Fidelity — 3× in this paper · explained in 2 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Conservation Laws — 2× in this paper · explained in 3 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Dynamic Adaptation — 2× in this paper · explained in 2 episodes
• Energy Efficiency — 2× in this paper · explained in 3 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Multi-agent Collaboration — 2× in this paper · explained in 2 episodes
• Multimodal Dataset — 2× in this paper · explained in 2 episodes
• Multimodal Inputs — 2× in this paper · explained in 2 episodes
• Prompt Engineering — 2× in this paper · explained in 4 episodes
• Verifier — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Agentic Framework — 1× in this paper · explained in 6 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Multi-objective Optimization — 1× in this paper · explained in 4 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Structured Prompting — 1× in this paper · explained in 2 episodes
• Task Decomposition — 1× in this paper · explained in 2 episodes

Sources

• OptiMUS: Optimization Modeling Using MIP Solvers and large language models
• Training Verifiers to Solve Math Word Problems
• ControlAgent: Automating Control System Design via Novel Integration of LLM Agents and Domain Expertise
• Multi-Agent Collaboration Mechanisms: A Survey of LLMs
• LLM-guided Chemical Process Optimization with a Multi-Agent Approach
• OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLM

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