Chungpa Lee

According to our database, Chungpa Lee authored at least 8 papers between 2024 and 2026.

Collaborative distances:

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

2026

Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback.

Jungtaek Kim, Thomas Zeng, Ziqian Lin, Minjae Lee, Chungpa Lee, Jy-Yong Sohn, Hyung Il Koo, Kangwook Lee

CoRR, March, 2026

Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models.

Chungpa Lee, Jy-yong Sohn, Kangwook Lee

CoRR, February, 2026

Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback.

Jungtaek Kim, Thomas Zeng, Ziqian Lin, Minjae Lee, Chungpa Lee, Jy-yong Sohn, Hyung Il Koo, Kangwook Lee

Trans. Mach. Learn. Res., 2026

2025

How to Correctly Report LLM-as-a-Judge Evaluations.

Chungpa Lee, Thomas Zeng, Jongwon Jeong, Jy-yong Sohn, Kangwook Lee

CoRR, November, 2025

On the Similarities of Embeddings in Contrastive Learning.

Chungpa Lee, Sehee Lim, Kibok Lee, Jy-yong Sohn

Proceedings of the Forty-second International Conference on Machine Learning, 2025

A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning.

Chungpa Lee, Jeongheon Oh, Kibok Lee, Jy-yong Sohn

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

A Generalized Theory of Mixup for Structure-Preserving Synthetic Data.

Chungpa Lee, Jongho Im, Joseph H. T. Kim

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Analysis of Using Sigmoid Loss for Contrastive Learning.

Chungpa Lee, Joonhwan Chang, Jy-yong Sohn

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024