Search Results for author:
Found 3 papers, 2 papers with code
EHRNoteQA: A Patient-Specific Question Answering Benchmark for Evaluating Large Language Models in Clinical Settings
This study introduces EHRNoteQA, a novel patient-specific question answering benchmark tailored for evaluating Large Language Models (LLMs) in clinical environments.
KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge
For the common knowledge dataset, we constructed samples based on Korean textbooks and GED reference materials.
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception
In this paper, we focus on the models' visual perception alignment with humans, further referred to as AI-human visual alignment.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
