18 citations · 24 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
Taming the Real-world Complexities in CPT E/M Coding with Large Language Models
Islam Nassar, Yang Lin, Yuan Jin +8
Evaluation and Management (E/M) coding, under the Current Procedural Terminology (CPT) taxonomy, documents medical services provided to patients by physicians. Used primarily for b…
OraPO: Oracle-educated Reinforcement Learning for Data-efficient and Factual Radiology Report Generation
Zhuoxiao Chen, Hongyang Yu, Ying Xu +3
Radiology report generation (RRG) aims to automatically produce clinically faithful reports from chest X-ray images. Prevailing work typically follows a scale-driven paradigm, by m…
Distill-C: Enhanced NL2SQL via Distilled Customization with LLMs
Cong Duy Vu Hoang, Gioacchino Tangari, Clemence Lanfranchi +10
The growing adoption of large language models (LLMs) in business applications has amplified interest in Natural Language to SQL (NL2SQL) solutions, in which there is competing dema…
SQLong: Enhanced NL2SQL for Longer Contexts with LLMs
Dai Quoc Nguyen, Cong Duy Vu Hoang, Duy Vu +5
Open-weight large language models (LLMs) have significantly advanced performance in the Natural Language to SQL (NL2SQL) task. However, their effectiveness diminishes when dealing…