activity
20232026
collaborators

10 papers

cs.CL2026

When Multiple Scripts Matter: Evaluating ASR in Clinical Settings

Jean Seo, Minkyu Kim, Jeonguk Lee +3

Automatic speech recognition (ASR) in non-English clinical settings is challenged by multiscript variability, where the same term may appear in multiple valid orthographic forms. C…

cs.CL2026

Evaluating the Pre-Consultation Ability of LLMs using Diagnostic Guidelines

Jean Seo, Gibaeg Kim, Kihun Shin +5

We introduce EPAG, a benchmark dataset and framework designed for Evaluating the Pre-consultation Ability of LLMs using diagnostic Guidelines. LLMs are evaluated directly through H…

cs.AI2025

H-DDx: A Hierarchical Evaluation Framework for Differential Diagnosis

Seungseop Lim, Gibaeg Kim, Hyunkyung Lee +4

An accurate differential diagnosis (DDx) is essential for patient care, shaping therapeutic decisions and influencing outcomes. Recently, Large Language Models (LLMs) have emerged…

cs.CL2025

Format Inertia: A Failure Mechanism of LLMs in Medical Pre-Consultation

Seungseop Lim, Gibaeg Kim, Wooseok Han +4

Recent advances in Large Language Models (LLMs) have brought significant improvements to various service domains, including chatbots and medical pre-consultation applications. In t…

cs.CL2025

Taxonomy of Comprehensive Safety for Clinical Agents

Jean Seo, Hyunkyung Lee, Gibaeg Kim +5

Safety is a paramount concern in clinical chatbot applications, where inaccurate or harmful responses can lead to serious consequences. Existing methods--such as guardrails and too…

cs.LG2025

DeltaSHAP: Explaining Prediction Evolutions in Online Patient Monitoring with Shapley Values

Changhun Kim, Yechan Mun, Sangchul Hahn +1

This study proposes DeltaSHAP, a novel explainable artificial intelligence (XAI) algorithm specifically designed for online patient monitoring systems. In clinical environments, di…

cs.LG2025

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation

Hyeongwon Jang, Changhun Kim, Eunho Yang

Recent explainable artificial intelligence (XAI) methods for time series primarily estimate point-wise attribution magnitudes, while overlooking the directional impact on predictio…

cs.SD2024

Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody Prompting

Wooseok Han, Minki Kang, Changhun Kim +1

Speaker-adaptive Text-to-Speech (TTS) synthesis has attracted considerable attention due to its broad range of applications, such as personalized voice assistant services. While se…

cs.CV2024

CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation

Hajin Shim, Changhun Kim, Eunho Yang

3D point clouds captured from real-world sensors frequently encompass noisy points due to various obstacles, such as occlusion, limited resolution, and variations in scale. These c…

cs.CV2023

Face-StyleSpeech: Enhancing Zero-shot Speech Synthesis from Face Images with Improved Face-to-Speech Mapping

Minki Kang, Wooseok Han, Eunho Yang

Generating speech from a face image is crucial for developing virtual humans capable of interacting using their unique voices, without relying on pre-recorded human speech. In this…