Moonseok Choi

According to our database, Moonseok Choi authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Verbalized Confidence Triggers Self-Verification: Emergent Behavior Without Explicit Reasoning Supervision.

Chaeyun Jang, Moonseok Choi, Yegon Kim, Hyungi Lee, Juho Lee

CoRR, June, 2025

2024

Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models.

Sanghyun Kim, Moonseok Choi, Jinwoo Shin, Juho Lee

CoRR, 2024

A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models.

Tae Hong Moon, Moonseok Choi, EungGu Yun, Jongmin Yoon, Gayoung Lee, Jaewoong Cho, Juho Lee

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning.

Moonseok Choi, Hyungi Lee, Giung Nam, Juho Lee

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion.

Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models.

Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee

CoRR, 2023

SWAMP: Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning.

Moonseok Choi, Hyungi Lee, Giung Nam, Juho Lee

CoRR, 2023

2022

Equal Experience in Recommender Systems.

Jaewoong Cho, Moonseok Choi, Changho Suh

CoRR, 2022