Dasol Choi

According to our database, Dasol Choi authored at least 14 papers between 2023 and 2025.

Collaborative distances:

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

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

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

Dasol Choi, Seunghyun Lee, Youngsook Song

CoRR, May, 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

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

Dasol Choi, Dongbin Na

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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