6 papers
Mathematical Reasoning Enhanced LLM for Formula Derivation: A Case Study on Fiber NLI Modellin
Yao Zhang, Yuchen Song, Xiao Luo +4
Recent advances in large language models (LLMs) have demonstrated strong capabilities in code generation and text synthesis, yet their potential for symbolic physical reasoning in…
Large language models for optical network O&M: Agent-embedded workflow for automation
Shengnan Li, Yidi Wang, Fubin Wang +7
With the continuous expansion of optical networks and the increasing diversity of services, existing operation and maintenance (O&M) approaches are increasingly challenged to meet…
Generative AI-Driven Hierarchical Multi-Agent Framework for Zero-Touch Optical Networks
Yao Zhang, Yuchen Song, Shengnan Li +5
The rapid development of Generative Artificial Intelligence (GenAI) has catalyzed a transformative technological revolution across all walks of life. As the backbone of wideband co…
FiberKAN: Kolmogorov-Arnold Networks for Nonlinear Fiber Optics
Xiaotian Jiang, Min Zhang, Xiao Luo +3
Scientific discovery and dynamic characterization of the physical system play a critical role in understanding, learning, and modeling the physical phenomena and behaviors in vario…
Physics-Informed Machine Learning for EDFA: Parameter Identification and Gain Estimation
Xiaotian Jiang, Jiawei Dong, Yuchen Song +3
As the key component that facilitates long-haul transmission in optical fiber communications by increasing capacity and reducing costs, accurate characterization and gain settings…
Synergistic Interplay of Large Language Model and Digital Twin for Autonomous Optical Networks: Field Demonstrations
Yuchen Song, Yao Zhang, Anni Zhou +6
The development of large language models (LLM) has revolutionized various fields and is anticipated to drive the advancement of autonomous systems. In the context of autonomous opt…