A Comprehensive Review of Large Language Models for Nanophotonics: From Surrogate Modeling to Autonomous Design
physics.optics, cs.LG
Submitted: 2026-08-18
Updated: 2026-09-24
Comments: Accepted for publication in Advanced Photonics
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Attention Is All You Need
- Generative Adversarial Networks
- Denoising Diffusion Probabilistic Models
- Fourier Neural Operator for Parametric Partial Differential Equations
- A Survey of Large Language Models
- Scaling Laws for Neural Language Models
- Training Compute-Optimal Large Language Models
- On the Opportunities and Risks of Foundation Models
- Universal Language Model Fine-tuning for Text Classification
- Emergent Abilities of Large Language Models
- Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
- Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning
- Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
- Low-Rank Adaptation for Foundation Models: A Comprehensive Review
- A Survey on In-context Learning
- Retrieval-Augmented Generation for Large Language Models: A Survey
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
- A Survey on Large Language Model based Autonomous Agents
- Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions
- ReAct: Synergizing Reasoning and Acting in Language Models
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