M.S. Student (2nd Semester)
CVSP Lab
Dept. of Electronics Engineering
Pusan National University
E-mail: higok18@pusan.ac.kr
Google Scholar | LinkedIn | CV
Interested in Vision-Language Models and Efficient MLLM
About me
I'm a master's student working on hardware-efficient Multimodal Large Language Models (MLLMs). My goal is to make these models lightweight, fast, and reliable enough to run on edge devices. I’m particularly interested in uncovering how MLLMs work internally, and in using that understanding to derive general principles rather than task-specific heuristics.
Efficiency Research
News
[2026/01] One paper has been accepted at ICLR 2026
[2025/11] One paper has been accepted at NeurIPS 2025 ER Workshop
[2025/06] One paper has been accepted at IEEE Signal Processing Letters
Educations
Pusan National University, Busan, Republic of Korea (Mar. 2025 - )
M.S. Department of Electronics Engineering
Advisor: Prof. Kyeongbo Kong
Pusan National University, Busan, Republic of Korea (Mar. 2019 - Feb. 2025)
B.S. Department of Electronics Engineering
Publications
(* equal contribution, † corresponding author)
Under Review
Anonymized Title (Query-agnositc KV Cache Compreesion [LLM])
C. Baek, K. Kong†
Anonymized Title (Robot Vision)
C. Baek*, T. Kim*, W. Lee*, J. Son, S. Lee, J. Kim, K. Kong†
International Journal
C. Baek, J. Song, K. Kong†
IEEE Signal Processing Letters (SPL), Aug. 2025
International conference
C. Baek*, J. Song*, S. Kim*, K. Kong†
ICLR 2026, Apr. 2026 [Github]
*Initial version was presented at NeruIPS Workshop on Efficient Reasoning, Dec. 2025
[C2] Efficient Token Pruning for Vision-Language Models in Multi-turn Scenarios
C. Baek*, S. Kim*, J. Song*, K. Kong†
IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), Oct. 2025 (Oral)
C. Baek, J. Song, K. Kong†
ITC-CSCC, Jul. 2025 (Special session)
Domestic Journal
[J2] Visual Token Pruning Based on Entropy Dynamics in Vision Encoders of Multimodal LLMs
C. Baek*, S. Kim*, J. Song*, K. Baek, K. Kong†
The Journal of the Korean Institute of Broadcast and Media Engineers (KIBME) Letters, 2026
C. Baek, K. Kong†
IEMEK Journal of Embedded Systems and Applications, Oct. 2024
Domestic Conference
[C1] Analysis of Visual Token Pruning in Large Vision-Language Models from the Perspectives of Image Complexity and Hallucination Generation
S. Kim*, C. Baek*, J. Song*, K. Kong†
The Korean Institute of Electrical Engineers (KIEE) Autumn Conference, Undergraduate Paper Competition, Nov. 2025 (3rd Prize)
Projects
Developed vision-language model-based technologies for visual perception and situation awareness in home robot systems
Collaborating with LG Electronics, Seoul, Korea (June. 2025 - )
Development of Anomaly and Environment Detection Technology for Home Robot Applications
Collaborating with LG Electronics, Seoul, Korea (June. 2025 - Nov. 2025)
Development of Nighttime Human Detection and Daytime Face Recognition Enhancement for Home Robot Environments
Collaborated with LG Electronics, Seoul, Korea (Dec. 2023 - Dec. 2024)
Technical Reports
Coming Soon..
Evaluating MLLM inference optimization techniques on real on-device systems (e.g., HyperCLOVA X SEED 3B, Kanana-1.5-V-3B on NPUs)
Awards
Outstanding Award, Industrial AI Convergence Club
Industrial AI Specialized Talent Development Program, Pusan National University, 2024
Extra
Teaching Experiences
[EE1600575] C Programming, Teaching Assistant
Dept. of EE, Pusan National University, Spring 2025
[EE3100695] Digital Circuits Laboratory, Teaching Assistant
Dept. of EE, Pusan National University, Fall 2025
Signals and Systems, Academic Tutor
Departmental Tutoring Program, Dept. of EE, Pusan National University, Fall 2023
Scholarship
Graduate Research Encouragement Scholarship
National Research Foundation of Korea (NRF), 2025
Skills
Python, Pytorch, C, C++, ROS2