Haanju Yoo — accepted AI-conference papers

2026

From Conversation to Query Execution: Benchmarking User and Tool Interactions for EHR Database Agents

Gyubok Lee, Woosog Chay, Heeyoung Kwak, Yeong Hwa Kim, Haanju Yoo, Oksoon Jeong +2

ICLR 2026poster

Despite the impressive performance of LLM-powered agents, their adoption for Electronic Health Record (EHR) data access remains limited by the absence of benchmarks that adequately capture real-world clinical data access flows. In practice, two core challenges hinder deployment: query ambiguity from…

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2026

Position: The Open Benchmark Paradox Must Be Resolved through Sovereign Medical Evaluation

Keonwoo Kim, Hyeseon Ko, Hyejeong Jo, Sewon Kim, Yera Choi, JaeDeok Lee +3

ICML 2026poster

As medical large language models become increasingly involved in clinical actions, public benchmarks are often treated as proxies of deployment-readiness. However, this reliance creates a false sense of security because public scores are often based on data the models have already seen. We call this…

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