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Seunghyun Won

3 accepted papers

2024

EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

NeurIPS 2024poster

Discharge summaries in Electronic Health Records (EHRs) are crucial for clinical decision-making, but their length and complexity make information extraction challenging, especially when dealing with accumulated summaries across multiple patient admissions. Large Language Models (LLMs) show promise…

2024

KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge

ACL 2024findings

To reliably deploy Large Language Models (LLMs) in a specific country, they must possess an understanding of the nation’s culture and basic knowledge. To this end, we introduce National Alignment, which measures the alignment between an LLM and a targeted country from two aspects: social value align…

2023

VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception

NeurIPS 2023poster

AI alignment refers to models acting towards human-intended goals, preferences, or ethical principles. Analyzing the similarity between models and humans can be a proxy measure for ensuring AI safety. In this paper, we focus on the models' visual perception alignment with humans, further referred to…