Dasol Choi
Research Scientist, AIM Intelligence
M.S. Student, Yonsei University
dasolchoi@yonsei.ac.kr
About
Hello! I am a Research Scientist at AIM Intelligence, working on multimodal safety, responsible AI, and large language models (LLMs). I am also an M.S. student at Yonsei University and an active researcher at HAE-RAE, an open-source research community focused on Korean NLP.
My research spans safety evaluation, alignment, bias mitigation, and adversarial robustness across multimodal and language models.
News
- [Nov. 2025] Surpassed 100 citations on Google Scholar.
- [Nov. 2025] Our paper Better Safe Than Sorry? Overreaction Problem of Vision Language Models in Visual Emergency Recognition is accepted at WACV 2026!
- [Oct. 2025] Two papers accepted at EMNLP 2025 MRL Workshop! No Language Data Left Behind: A Comparative Study of CJK Language Datasets in the Hugging Face Ecosystem and Ko-PIQA: A Korean Physical Commonsense Reasoning Dataset with Cultural Context (MRL Shared Task).
- [Aug. 2025] Received the Best Student Paper Award at MedInfo 2025 for our paper LLM-Based Medical Document Evaluation: Integrating Human Expert Insights.
- [Jul. 2025] Joined AIM Intelligence as a Research Scientist.
- [Mar. 2025] Awarded the Google East Asia Student Travel Grant for AAAI 2025!
- [Nov. 2024] Our paper Distribution-Level Feature Distancing for Machine Unlearning is accepted at AAAI 2025.
- [Nov. 2024] Our paper Evaluation framework of large language models in medical documentation: Development and usability study is accepted at Journal of Medical Internet Research(JMIR) - SCIE.
Education
Yonsei UniversityMar. 2024 – Present
M.S. in Digital Analytics, College of Computing
Coursework: Machine Learning, Deep Learning, NLP, Responsible AI, Big Data Applications, Programming, Database
Kyung Hee UniversityMar. 2013 – Feb. 2019
B.A. in Japanese Language (Major) & B.A. in Physical Education (Double Major)
Publications
(* indicates equal contribution)
Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting
Dasol Choi, Dongbin Na
AAAI 2025 Main
Better Safe Than Sorry? Overreaction Problem of Vision Language Models in Visual Emergency Recognition
Dasol Choi, Seunghyun Lee, Youngsook Song
WACV 2026 Main
LLM-Based Medical Document Evaluation: Integrating Human Expert Insights
Junhyuk Seo*, Dasol Choi*, Wonchul Cha, Taerim Kim
MedInfo 2025 - Best Student Paper Award
Evaluation Framework of Large Language Models in Medical Documentation: Development and Usability Study
Junkyuk Seo*, Dasol Choi*, Wonchul Cha, Haanju Yoo, Namkee Oh, Yongjin Yi, Gyehwa Lee, Edward Choi, Taerim Kim
JMIR 2024 (SCIE Journal)
COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs
Dasol Choi*, DongGeon Lee*, Brigitta Jesica Kartono*, Helena Berndt, Haon Park, Hwanjo Yu, Minsuk Kahng
Under review
What Users Leave Unsaid: Under-Specified Queries Limit Vision-Language Models
Dasol Choi*, Guijin Son*, Hanwool Lee*, Minhyuk Kim, Hyunwoo Ko, Teabin Lim, Ahn Eungyeol, Jungwhan Kim, Seunghyeok Hong, Youngsook Song
Under review
When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models
Dasol Choi, Jihwan Lee, Minjae Lee, Minsuk Kahng
Under review
When Good Sounds Go Adversarial: Jailbreaking Audio-Language Models with Benign Inputs
Bodam Kim*, Hiskias Dingeto*, Taeyoun Kwon*, Dasol Choi, DongGeon Lee, Haon Park, JaeHoon Lee, Jongho Shin
Under review
Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting
Dasol Choi, Dongbin Na
AAAI 2025 Main
Better Safe Than Sorry? Overreaction Problem of Vision Language Models in Visual Emergency Recognition
Dasol Choi, Seunghyun Lee, Youngsook Song
WACV 2026 Main
LLM-Based Medical Document Evaluation: Integrating Human Expert Insights
Junhyuk Seo*, Dasol Choi*, Wonchul Cha, Taerim Kim
MedInfo 2025 - Best Student Paper Award
Evaluation Framework of Large Language Models in Medical Documentation: Development and Usability Study
Junkyuk Seo*, Dasol Choi*, Wonchul Cha, Haanju Yoo, Namkee Oh, Yongjin Yi, Gyehwa Lee, Edward Choi, Taerim Kim
JMIR 2024 (SCIE Journal)
COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs
Dasol Choi*, DongGeon Lee*, Brigitta Jesica Kartono*, Helena Berndt, Haon Park, Hwanjo Yu, Minsuk Kahng
Under review
What Users Leave Unsaid: Under-Specified Queries Limit Vision-Language Models
Dasol Choi*, Guijin Son*, Hanwool Lee*, Minhyuk Kim, Hyunwoo Ko, Teabin Lim, Ahn Eungyeol, Jungwhan Kim, Seunghyeok Hong, Youngsook Song
Under review
When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models
Dasol Choi, Jihwan Lee, Minjae Lee, Minsuk Kahng
Under review
When Good Sounds Go Adversarial: Jailbreaking Audio-Language Models with Benign Inputs
Bodam Kim*, Hiskias Dingeto*, Taeyoun Kwon*, Dasol Choi, DongGeon Lee, Haon Park, JaeHoon Lee, Jongho Shin
Under review
Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap
Hyunwoo Ko*, Guijin Son*, Dasol Choi*
EMNLP 2025 MRL Workshop
Ko-PIQA: A Korean Physical Commonsense Reasoning Dataset with Cultural Context
Dasol Choi*, Jungwhan Kim*, Guijin Son
EMNLP 2025 MRL Workshop (Shared Task)
No Language Data Left Behind: A Comparative Study of CJK Language Datasets in the Hugging Face Ecosystem
Dasol Choi, Woomyoung Park, Youngsook Song
EMNLP 2025 MRL Workshop
DMR: Disentangling Marginal Representations for Out-of-Distribution Detection
Dasol Choi, Dongbin Na
CVPR 2024 Workshop
Towards Efficient Machine Unlearning with Data Augmentation: Guided Loss-Increasing (GLI) to Prevent the Degradation of Model Utility
Dasol Choi, Soora Choi, Eunsun Lee, Jinwoo Seo, Dongbin Na
CVPR 2024 Workshop
Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems
Dasol Choi*, Dongbin Na*
AAAI 2024 Workshop
KoMultiText: Large-Scale Korean Text Dataset for Classifying Biased Speech in Real-World Online Services
Dasol Choi, Jooyoung Song, Eunsun Lee, Jinwoo Seo, Heejune Park, Dongbin Na
NeurIPS 2023 Workshop
Multi-Step Reasoning in Korean and the Emergent Mirage
Guijin Son, Hyunwoo Ko, Dasol Choi
AAAI 2025 Workshop
Improving Fine-grained Visual Understanding in VLMs through Text-Only Training
Dasol Choi, Guijin Son, Soo Yong Kim, Gio Paik, Seunghyeok Hong
AAAI 2025 Workshop
Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thought
Guijin Son, Donghun Yang, Hitesh Laxmichand Patel, Amit Agarwal, Hyunwoo Ko, Chanuk Lim, Srikant Panda, Minhyuk Kim, Nikunj Drolia, Dasol Choi, Kyong-Ha Lee, Youngjae Yu
arxiv preprint
Redefining Evaluation Standards: A Unified Framework for Evaluating the Korean Capabilities of Language Models
Hanwool Lee*, Dasol Choi*, Sooyong Kim, Ilgyun Jung, Sangwon Baek, Guijin Son, Inseon Hwang, Naeun Lee, Seunghyeok Hong
arxiv preprint
Vitæ
Full CV available in PDF.
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AIM Intelligence Jul. 2025 - PresentResearch Scientist
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SIONIC AI Dec. 2024 - Feb. 2025ML/DL Research Intern
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Yonsei University Mar. 2024 - PresentM.S. in Digital Analytics
College of Computing -
Samsung Medical Center Jul. 2023 - Feb. 2024Data Analysis Researcher
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Kyung Hee University Mar. 2013 - Feb. 2019B.A. in Japanese Language
Double Major: Physical Education