Gyuhak Kim

According to our database, Gyuhak Kim authored at least 12 papers between 2022 and 2025.

Collaborative distances:

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

2025

SFT-GO: Supervised Fine-Tuning with Group Optimization for Large Language Models.

Gyuhak Kim, Sumiran Thakur, Su Min Park, Wei Wei, Yujia Bao

CoRR, June, 2025

Open-world continual learning: Unifying novelty detection and continual learning.

Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu

Artif. Intell., 2025

2024

Harnessing Business and Media Insights with Large Language Models.

Yujia Bao, Ankit Parag Shah, Neeru Narang, Jonathan Rivers, Rajeev Maksey, Lan Guan, Louise N. Barrere, Shelley Evenson, Rahul Basole, Connie Miao, Ankit Mehta, Fabien Boulay, Su Min Park, Natalie E. Pearson, Eldhose Joy, Tiger He, Sumiran Thakur, Koustav Ghosal, Josh On, Phoebe Morrison, Tim Major, Eva Siqi Wang, Gina Escobar, Jiaheng Wei, Tharindu Cyril Weerasooriya, Queena Song, Daria Lashkevich, Clare Chen, Gyuhak Kim, Dengpan Yin, Don Hejna, Mo Nomeli, Wei Wei

CoRR, 2024

Multi-Modal Continual Pre-Training For Audio Encoders.

Gyuhak Kim, Ho-Hsiang Wu, Luca Bondi, Bing Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Continual Learning of Language Models.

Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu

CoRR, 2023

Parameter-Level Soft-Masking for Continual Learning.

Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu

Proceedings of the International Conference on Machine Learning, 2023

Learnability and Algorithm for Continual Learning.

Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu

Proceedings of the International Conference on Machine Learning, 2023

Continual Pre-training of Language Models.

Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning.

Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

A Theoretical Study on Solving Continual Learning.

Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Continual Learning Based on OOD Detection and Task Masking.

Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

A Multi-Head Model for Continual Learning via Out-of-Distribution Replay.

Gyuhak Kim, Bing Liu, Zixuan Ke

Proceedings of the Conference on Lifelong Learning Agents, 2022