arXiv subjects

Jerry Ying Hsi Fuh

Publications and source records attributed to Jerry Ying Hsi Fuh.

3 recordsLinked to original sources

arXiv2026

From Prompt to Graph: Comparing LLM-Based Information Extraction Strategies in Domain-Specific Ontology Development

Ontologies are essential for structuring domain knowledge, improving accessibility, sharing, and reuse. However, traditional ontology construction relies on manual annotation and conventional natural language processing (NLP) techniques, making the process labour-intensive and costly, especially in specialised fields like casting manufacturing. The rise of Large Language Models (LLMs) offers new possibilities for automating knowledge extraction. This study investigates three LLM-based approaches, including pre-trained LLM-driven method, in-context learning (ICL) method and fine-tuning method to extract terms and relations from domain-specific texts using limited data. We compare their performances and use the best-performing method to build a casting ontology that validated by domian expert.

cs.AI↗

arXiv2025

Directly Mapping Interacting Components to Complex Systems' Emergent Properties

Emergent behavior in complex systems arises from nonlinear interactions among components, yet the intricate nature of self-organization often obscures the underlying causal relationships, long regarded as the "holy grail" of complexity research. To address this challenge, we adopted an inductive, mechanism-agnostic approach to characterize how diseased biological systems respond to therapeutic interventions, leading to the discovery of the Complex System Response (CSR) equation, a deterministic formulation that quantitatively connects component interactions with emergent behaviors, validated across 30 disease models. In this study, the main goal is to extend the CSR framework beyond biology to validate its applicability in engineering systems and urban social dynamics. Our results reveal that the CSR equation embodies the same systemic principles governing physical, chemical, biological, and social complex systems.

nlin.AO↗

arXiv2025

A ubiquitous transfer function links interacting elements to emerging property of complex systems

In the field of complex systems, self-organization magnifies the compounding effects of element interactions by propagating, modifying, and enhancing functionality, ultimately leading to emergent system properties. The intricacies of self-organization make unveiling the elusive link between element interactions and emergent system properties akin to finding the proverbial Holy Grail. In the search for identifying a method to predict system-level properties, we used an inductive approach to bypass the self-organization. By observing drug interactions within biological complex system, system property, efficacy, emerged as a smooth response surface in the multi-dimensional space of drug-system interactions, which can be represented by the Complex System Response (CSR) function. This CSR function has been successfully validated across diverse disease models in cell lines, animals, and clinical trials. Notably, the CSR function reveals that biological complex systems exhibit second-order non-linearity. In this study, we generalized the CSR function to physical complex systems, linking maximum compressive yielding stress to impactful manufacturing parameters of the Selective Laser Melting (SLM) process. Remarkably though anticipated, the CSR function reveals the connection between the macroscale system property (compressive yielding stress) and the microstructure during self-organizing process. In addition, the second-order non-linear CSR functions ensure a single global optimum in complex systems.

physics.bio-ph↗