About

Seongsu Bae

Ph.D. Candidate @ KAIST AI

I'm interested in semantic interfaces — AI that expands what humans can understand and do, not just what it can automate. I build them for healthcare and study how to rigorously measure them. Advised by Edward Choi.

[Scholar][GitHub][Email]

Life

Gallery →

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Seoul

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Tokyo

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NeurIPS

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Jeju

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Beijing

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Lab

Selected Publications

All 14 →

ListenCare: Encounter-Grounded Audio Question Answering for Long-Form Clinical Conversation Speech

Seongsu Bae^*, Chaeeun Shim^*, Sungbae Park, Edward Choi

ICML 2026 Workshop on Machine Learning for Audio

[Paper][Code][Workshop]

KorMedMCQA-V: A Multimodal Benchmark for Evaluating Vision-Language Models on Korean Medical Licensing Exam

Byungjin Choi^*, Seongsu Bae^*, Sunjun Kweon, Edward Choi

Preprint

[Paper][Dataset][Code]

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images

Seongsu Bae^*, Daeun Kyung^*, Jaehee Ryu, Eunbyeol Cho, Gyubok Lee, Sunjun Kweon, Jungwoo Oh, Lei Ji, Eric I-Chao Chang, Tackeun Kim, Edward Choi

NeurIPS 2023 Datasets and Benchmarks

[Paper][Code]

Graph-Text Multi-Modal Pre-training for Medical Representation Learning

Sungjin Park, Seongsu Bae, Jiho Kim, Tackeun Kim, Edward Choi

CHIL 2022

[Paper][Code]

Question Answering for Complex Electronic Health Records Database using Unified Encoder-Decoder Architecture

Seongsu Bae, Daeyoung Kim, Jiho Kim, Edward Choi

ML4H 2021 (Oral Spotlight)

[Paper]

Experience

Microsoft Research Asia

Research Intern · Mentors: Eric Chang and Lei Ji

Worked on text-to-image generation and multimodal question answering.

Oct 2022 – Apr 2023

Education

KAIST AI

Ph.D. Candidate · Advisor: Edward Choi

Sep 2022 – Present

KAIST AI

M.S. · Advisor: Edward Choi

Sep 2020 – Aug 2022

Talks

W&B Korea — Evaluation & Benchmark

2025

Stanford MedAI — EHRXQAvideo

2024

Microsoft Research — EHRXQA

2023

Writing

All posts →

Hello World

Welcome to my new blog — a fresh start with Next.js.

2026-04-01 · 1 min read