Using Vision Language Foundation Models to Generate Plant Simulation Configurations via In-Context Learning

arXiv:2603.08930 · cs.CV, cs.AI · Submitted 2026-03-09 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-03-09

Updated: 2026-09-22

Terminology

Digital Twin — 21× in this paper · explained in 4 episodes
In-Context Learning — 13× in this paper · explained in 4 episodes
Benchmark — 11× in this paper · explained in 2 episodes
Fine-Tuning — 8× in this paper · explained in 5 episodes
Accuracy — 6× in this paper · explained in 1 episode
Grounding — 6× in this paper · explained in 3 episodes
Ablation — 3× in this paper · explained in 1 episode
Ablation study — 3× in this paper · explained in 1 episode
Few-Shot Learning — 2× in this paper · explained in 4 episodes
Foundation Model — 2× in this paper · explained in 3 episodes
Foundation Models — 2× in this paper · explained in 7 episodes
Adam — 1× in this paper · explained in 2 episodes
Adaptation — 1× in this paper · explained in 1 episode
Alignment — 1× in this paper · explained in 1 episode
Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
Benchmarking — 1× in this paper · explained in 3 episodes
Decode — 1× in this paper · explained in 2 episodes
Hallucination — 1× in this paper · explained in 3 episodes
LoRA Fine-Tuning — 1× in this paper · explained in 3 episodes
Sim-to-Real Gap — 1× in this paper · explained in 6 episodes
Synthetic Data Generation — 1× in this paper · explained in 5 episodes
Synthetic Data Generation Pipeline — 1× in this paper · explained in 2 episodes
Transformer — 1× in this paper · explained in 2 episodes
Winter Conference on Applications of Computer Vision — 1× in this paper
alpha — 1× in this paper · explained in 1 episode

Terminology

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