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Found 2 papers, 1 papers with code
LLMs in the Heart of Differential Testing: A Case Study on a Medical Rule Engine
GURI is a core component of CaReSS, which is responsible for validating incoming data with medical rules.
EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System
To tackle this challenge, we propose EvoCLINICAL, which considers the CCDT developed for the previous version of GURI as the pretrained model and fine-tunes it with the dataset labelled by querying a new GURI version.
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