2 papers
cs.CL2025
Unlocking the Potential of Large Language Models in the Nuclear Industry with Synthetic Data
Muhammad Anwar, Daniel Lau, Mishca de Costa +1
The nuclear industry possesses a wealth of valuable information locked away in unstructured text data. This data, however, is not readily usable for advanced Large Language Model (…
cs.CL2025
Towards Secure and Private Language Models for Nuclear Power Plants
Muhammad Anwar, Mishca de Costa, Issam Hammad +1
This paper introduces a domain-specific Large Language Model for nuclear applications, built from the publicly accessible Essential CANDU textbook. Drawing on a compact Transformer…