Dasol Choi

According to our database, Dasol Choi authored at least 22 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

When Context Flips, Safety Breaks: Diagnosing Brittle Safety in Aligned Language Models.

Dasol Choi, Alex Kwon

CoRR, May, 2026

XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity.

Dasol Choi, Eugenia Kim, Jaewon Noh, Sang Seo, Eunmi Kim, Myunggyo Oh, Yunjin Park, Brigitta Jesica Kartono, Josef Pichlmeier, Helena Berndt, Sai Krishna Mendu, Glenn Johannes Tungka, Özlem Gökçe, Suresh Gehlot, Katherine Pratt, Amanda J. Minnich, Haon Park

CoRR, May, 2026

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

CoRR, January, 2026

COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs.

Dasol Choi, DongGeon Lee, Brigitta Jesica Kartono, Helena Berndt, Taeyoun Kwon, Joonwon Jang, Haon Park, Hwanjo Yu, Minsuk Kahng

CoRR, January, 2026

Better Safe Than Sorry? Overreaction Problem of Vision Language Models in Visual Emergency Recognition.

Dasol Choi, Seunghyun Lee, Youngsook Song

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

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

CoRR, October, 2025

Ko-PIQA: A Korean Physical Commonsense Reasoning Dataset with Cultural Context.

Dasol Choi, Jungwhan Kim, Guijin Son

CoRR, September, 2025

When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models.

Dasol Choi, Jihwan Lee, Minjae Lee, Minsuk Kahng

CoRR, August, 2025

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

CoRR, August, 2025

No Language Data Left Behind: A Comparative Study of CJK Language Datasets in the Hugging Face Ecosystem.

Dasol Choi, Woomyoung Park, Youngsook Song

CoRR, July, 2025

HRET: A Self-Evolving LLM Evaluation Toolkit for Korean.

Hanwool Lee, Soo Yong Kim, Dasol Choi, Sangwon Baek, Seunghyeok Hong, Ilgyun Jeong, Inseon Hwang, Naeun Lee, Guijin Son

CoRR, March, 2025

Multi-Step Reasoning in Korean and the Emergent Mirage.

Guijin Son, Hyunwoo Ko, Dasol Choi

CoRR, January, 2025

Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap.

Hyunwoo Ko, Guijin Son, Dasol Choi

CoRR, January, 2025

LLM-Based Medical Document Evaluation: Integrating Human Expert Insights.

Junhyuk Seo, Dasol Choi, Wonchul Cha, Taerim Kim

Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

LLM-Based Clinical History Taking System: A Persona-Driven Approach.

Dasol Choi, Yujoon Jung, Joonyoung Kim, Namkee Oh, Herin Oh, Seunghyup Lee, Junhyuk Seo, Taerim Kim

Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting.

Dasol Choi, Dongbin Na

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training.

Dasol Choi, Guijin Son, Soo Yong Kim, Gio Paik, Seunghyeok Hong

CoRR, 2024

DMR: Disentangling Marginal Representations for Out-of-Distribution Detection.

Dasol Choi, Dongbin Na

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Efficient Machine Unlearning with Data Augmentation: Guided Loss-Increasing (GLI) to Prevent the Catastrophic Model Utility Drop.

Dasol Choi, Soora Choi, Eunsun Lee, Jinwoo Seo, Dongbin Na

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Towards Reliable AI Model Deployments: Multiple Input Mixup for Out-of-Distribution Detection.

Dasol Choi, Dongbin Na

CoRR, 2023

Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems.

Dasol Choi, Dongbin Na

CoRR, 2023

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

CoRR, 2023