Distilling Linguistic Context for Language Model Compression. - Geondo Park; Gyeongman Kim; Eunho Yang (EMNLP (1), 2021)

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 (CVPR, 2023)

PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning. - Gyeongman Kim; Doohyuk Jang; Eunho Yang (EMNLP (Findings), 2024)

SeamsTalk: Seamless Talking Face Generation via Flow-Guided Inpainting. - Yeon-Ho Jeong; Gyeongman Kim; Doohyuk Jang; Jaeryong Hwang; Eunho Yang (IEEE Access, 2024)

Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning. - Hyun Ryu; Gyeongman Kim; Hyemin S. Lee; Eunho Yang (ICLR, 2025)

Every Expert Matters: Towards Effective Knowledge Distillation for Mixture-of-Experts Language Models. - Gyeongman Kim; Gyouk Chu; Eunho Yang (CoRR, 2025)