1 citations · 1 across the 4 of their papers we have counts for
5 papers
Enhancing LLM Medical Coding with Structured External Knowledge
Yidong Gan, David D. Nguyen, Yang Lin +4
Accurate medical coding requires consulting authoritative resources such as the ICD tabular list and coding guidelines. Existing LLM-based automated methods largely rely on LLMs' i…
MedDCR: Learning to Design Agentic Workflows for Medical Coding
Jiyang Zheng, Islam Nassar, Thanh Vu +5
Medical coding converts free-text clinical notes into standardized diagnostic and procedural codes, which are essential for billing, hospital operations, and medical research. Unli…
Continual Pre-Training is (not) What You Need in Domain Adaption
Pin-Er Chen, Da-Chen Lian, Shu-Kai Hsieh +8
The recent advances in Legal Large Language Models (LLMs) have transformed the landscape of legal research and practice by automating tasks, enhancing research precision, and suppo…
Quantifying Correlations of Machine Learning Models
Yuanyuan Li, Neeraj Sarna, Yang Lin
Machine Learning models are being extensively used in safety critical applications where errors from these models could cause harm to the user. Such risks are amplified when multip…
An In-Depth Examination of Risk Assessment in Multi-Class Classification Algorithms
Disha Ghandwani, Neeraj Sarna, Yuanyuan Li +1
Advanced classification algorithms are being increasingly used in safety-critical applications like health-care, engineering, etc. In such applications, miss-classifications made b…