EvoTreeNAD: Genealogy-Guided Evolution for LLM-Driven Neural Architecture Discovery

arXiv:2609.29016 · cs.NE, cs.LG · Submitted 2026-09-24 · Read on arXiv

cs.NE, cs.LG

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Fidelity — 29× in this paper · explained in 2 episodes
• Accuracy — 24× in this paper · explained in 1 episode
• Benchmark — 6× in this paper · explained in 2 episodes
• AUC — 4× in this paper · explained in 2 episodes
• Core — 4× in this paper · explained in 2 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Modularity — 1× in this paper · explained in 9 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes

Sources

• Zero-Cost Proxies for Lightweight NAS
• ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
• RevoNAD: Reflective Evolutionary Exploration for Neural Architecture Design
• MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery
• Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
• AIDE: AI-Driven Exploration in the Space of Code
• Random Search and Reproducibility for Neural Architecture Search
• DARTS: Differentiable Architecture Search
• The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
• $\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
• AlphaEvolve: A coding agent for scientific and algorithmic discovery
• Efficient Neural Architecture Search via Parameter Sharing
• LeMo-NADe: Multi-Parameter Neural Architecture Discovery with LLMs
• ZO-DARTS++: An Efficient and Size-Variable Zeroth-Order Neural Architecture Search Algorithm
• Can GPT-4 Perform Neural Architecture Search?
• Learning Transferable Architectures for Scalable Image Recognition

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