9 citations · 9 across the 3 of their papers we have counts for
4 papers
AIA: Attribute-Agnostic Imbalance Augmentation for Subgroup Robustness
Hanshu Rao, Guangzeng Han, Xiaolei Huang
Attributes describing data content and context can induce diverse imbalance patterns that go beyond label imbalance alone. However, existing studies primarily address label imbalan…
Model-Agnostic Meta Learning for Class Imbalance Adaptation
Hanshu Rao, Guangzeng Han, Xiaolei Huang
Class imbalance is a widespread challenge in NLP tasks, significantly hindering robust performance across diverse domains and applications. We introduce Hardness-Aware Meta-Resampl…
BLUEmed: Retrieval-Augmented Multi-Agent Debate for Clinical Error Detection
Saukun Thika You, Nguyen Anh Khoa Tran, Wesley K. Marizane +3
Terminology substitution errors in clinical notes, where one medical term is replaced by a linguistically valid but clinically different term, pose a persistent challenge for autom…
A Scoping Review of Synthetic Data Generation by Language Models in Biomedical Research and Application: Data Utility and Quality Perspectives
Hanshu Rao, Weisi Liu, Haohan Wang +3
Synthetic data generation using large language models (LLMs) demonstrates substantial promise in addressing biomedical data challenges and shows increasing adoption in biomedical r…