FIELD NOTES TOPIC
data quality
3 notes, newest first.
Improving the Realism of Synthetic Clinical Benchmarks Under Utility Constraints
Researchers propose a method to improve the realism of synthetic clinical benchmarks for AI agents in healthcare settings without compromising their downstream utility checks. They develop a framework that ensures…
CURED: Creating, Understanding, and Repairing Errors Demonstrator
The paper presents CURED, a web application that allows users to upload tabular data, introduce errors, and use machine learning methods to clean and understand the error mechanisms in the data. The goal is to bridge…
Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation
Researchers have proposed a new framework to improve the quality of annotations in depression-related datasets for artificial intelligence systems in mental health research. The framework uses a large language model…
