3 citations · 3 across the 8 of their papers we have counts for
5 papers · 1 filter
Trustworthy Medical Question Answering: An Evaluation-Centric Survey
Yinuo Wang, Baiyang Wang, Robert E. Mercer +5
Trustworthiness in healthcare question-answering (QA) systems is important for ensuring patient safety, clinical effectiveness, and user confidence. As large language models (LLMs)…
Graph-tree Fusion Model with Bidirectional Information Propagation for Long Document Classification
Sudipta Singha Roy, Xindi Wang, Robert E. Mercer +1
Long document classification presents challenges in capturing both local and global dependencies due to their extensive content and complex structure. Existing methods often strugg…
The GPT-WritingPrompts Dataset: A Comparative Analysis of Character Portrayal in Short Stories
Xi Yu Huang, Krishnapriya Vishnubhotla, Frank Rudzicz
The improved generative capabilities of large language models have made them a powerful tool for creative writing and storytelling. It is therefore important to quantitatively unde…
Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation
Xindi Wang, Robert E. Mercer, Frank Rudzicz
The International Classification of Diseases (ICD) serves as a definitive medical classification system encompassing a wide range of diseases and conditions. The primary objective…
Auxiliary Knowledge-Induced Learning for Automatic Multi-Label Medical Document Classification
Xindi Wang, Robert E. Mercer, Frank Rudzicz
The International Classification of Diseases (ICD) is an authoritative medical classification system of different diseases and conditions for clinical and management purposes. ICD…