Gyeongman Kim

According to our database, Gyeongman Kim authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

Pruning and Distilling Mixture-of-Experts into Dense Language Models.

Junhyuck Kim, Jihun Yun, Haechan Kim, Gyeongman Kim, Joonghyun Bae, Jaewoong Cho

CoRR, May, 2026

Raon-Speech Technical Report.

Beomsoo Kim, Changho Choi, Dohyun Kim, Dongki Lee, Ethan Ewer, Eunchong Kim, Gyeongman Kim, Haechan Kim, Hyeonghwan Kim, Inkyu Park, Jihun Yun, Jihwan Moon, Jiyun Kim, Joonghyun Bae, Junhyuck Kim, Minkyu Kim, Sehun Lee, Seungjun Chung, Sungwoo Cho, Dongmin Park, Dongwon Kim, Hara Kang, Jonghyun Lee, Keon Lee, Kangwook Lee, Jaewoong Cho

CoRR, May, 2026

THINKSAFE: Self-Generated Safety Alignment for Reasoning Models.

Seanie Lee, Sangwoo Park, Yumin Choi, Gyeongman Kim, Minki Kang, Jihun Yun, Dongmin Park, Jongho Park, Sung Ju Hwang

CoRR, January, 2026

2025

Clip-Low Increases Entropy and Clip-High Decreases Entropy in Reinforcement Learning of Large Language Models.

Jaesung R. Park, Junsu Kim, Gyeongman Kim, Jinyoung Jo, Sean Choi, Jaewoong Cho, Ernest K. Ryu

CoRR, September, 2025

ReviewScore: Misinformed Peer Review Detection with Large Language Models.

Hyun Ryu, Doohyuk Jang, Hyemin S. Lee, Joonhyun Jeong, Gyeongman Kim, Donghyeon Cho, Gyouk Chu, Minyeong Hwang, Hyeongwon Jang, Changhun Kim, Haechan Kim, Jina Kim, Joowon Kim, Yoonjeon Kim, Kwanhyung Lee, Chanjae Park, Heecheol Yun, Gregor Betz, Eunho Yang

CoRR, September, 2025

Every Expert Matters: Towards Effective Knowledge Distillation for Mixture-of-Experts Language Models.

Gyeongman Kim, Gyouk Chu, Eunho Yang

CoRR, February, 2025

Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning.

Hyun Ryu, Gyeongman Kim, Hyemin S. Lee, Eunho Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

SeamsTalk: Seamless Talking Face Generation via Flow-Guided Inpainting.

Yeon-Ho Jeong, Gyeongman Kim, Doohyuk Jang, Jaeryong Hwang, Eunho Yang

IEEE Access, 2024

PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning.

Gyeongman Kim, Doohyuk Jang, Eunho Yang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding.

Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim, Eunho Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Distilling Linguistic Context for Language Model Compression.

Geondo Park, Gyeongman Kim, Eunho Yang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021