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cs.CL2026
Graph Fusion Across Languages using Large Language Models
Kaung Myat Kyaw, Khush Agarwal, Jonathan Chan
Combining multiple knowledge graphs (KGs) across linguistic boundaries is a persistent challenge due to semantic heterogeneity and the complexity of graph environments. We propose…
cs.CL2024
AMGPT: a Large Language Model for Contextual Querying in Additive Manufacturing
Achuth Chandrasekhar, Jonathan Chan, Francis Ogoke +2
Generalized large language models (LLMs) such as GPT-4 may not provide specific answers to queries formulated by materials science researchers. These models may produce a high-leve…