황성주Sung Ju Hwang
MLAI Lab
기계학습, 인공지능
- 논문
- 103
- 구성원
- 32
- 졸업생
- 35
논문 주제가 비슷한 연구실
KAIST 양은호 교수 연구실은 머신러닝 분야 연구실로, 연구실 홈페이지 기준 2023–2026년 논문 80편(T1 54편)을 발표했습니다. 현재 박사과정 20명, 석사과정 11명이 소속되어 있습니다. 졸업생은 34명입니다.
2023–2026 · 연구실 홈페이지 기준
연평균 · T1 비율
20.0 · 68%
논문 제목에서 찾은 주제예요. 최근 논문일수록 크게 반영돼요.
논문 80편
A Pilot Study on Doubt Robustness of LLMs in Clinical Prediction Explanation
Juhwan Choi, Sangchul Hahn, Eunho Yang
Bringing Real-World Relations into Video Generation with Graph-Structured Knowledge
Joonhyung Park, Jaeyun Song, Sihwan Park, Eunho Yang
CollabVR: Collaborative Video Reasoning with Vision-Language and Video Generation Models
Joowon Kim, Seungho Shin, Joonhyung Park, Eunho Yang
CURaTE: Continual Unlearning in Real Time with Ensured Preservation of LLM Knowledge
Seyun Bae, Seokhan Lee, Eunho Yang
Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring
Changhun Kim, Yechan Mun, Hyeongwon Jang, Eunseo Lee, Sangchul Hahn, Eunho Yang
Discounted Beta-Bernoulli Reward Estimation for Sample-Efficient Reinforcement Learning with Verifiable Rewards
Haechan Kim, Soohyun Ryu, Gyouk Chu, Doohyuk Jang, Eunho Yang
EMR-AGENT: An LLM Agent Framework for Cohort and Feature Extraction from Heterogeneous EHR Databases
Kwanhyung Lee, Sungsoo Hong, Joonhyung Park, Jeonghyeop Lim, Juhwan Choi, Donghwee Yoon, Eunho Yang
Evaluating the Pre-Consultation Ability of LLMs using Diagnostic Guidelines
Jean Seo, Gibaeg Kim, Kihun Shin, Seungseop Lim, Hyunkyung Lee, Wooseok Han, Jongwon Lee, Eunho Yang
논문 주제 구성이 비슷한 연구실이에요.