About Me

Hello, I am a Ph.D student at Machine Learning and Intelligence Lab (MLILAB) in KAIST, advised by Prof. Eunho Yang.

My recent research focuses on advancing the reasoning capabilities of large language models through reinforcement learning-based post-training methods. In parallel, I explore ways to improve the efficiency of foundation models, especially auto-regressive generative models, by optimizing inference-time performance via better memory usage, reduced latency, and techniques such as speculative decoding and knowledge distillation.

Publications

• Verifying Meta-Awareness via Predictive Rewards in Reasoning Models [paper]
  Yoonjeon Kim*, Doohyuk Jang*, Eunho Yang
  ICML 2026

• Discounted Beta-Bernoulli Reward Estimation for Sample-Efficient Reinforcement Learning with Verifiable Rewards [paper]
  Haechan Kim, Soohyun Ryu, Gyouk Chu, Doohyuk Jang, Eunho Yang
  ICML 2026

• LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding [paper]
  Doohyuk Jang*, Sihwan Park*, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sungyub Kim, Eunho Yang
  ICLR 2025

• PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning [paper]
  Gyeongman Kim, Doohyuk Jang, Eunho Yang
  Findings of EMNLP 2024

• SeamsTalk: Seamless Talking Face Generation via Flow-Guided Inpainting [paper]
  Yeongho Jeong, Gyeongman Kim, Doohyuk Jang, Jaeryong Hwang, Eunho Yang
  IEEE Access 2024

• Reasoning Model is Stubborn: Diagnosing Instruction Overriding in Reasoning Models [paper] [project page]
  Doohyuk Jang*, Yoonjeon Kim*, Chanjae Park, Hyun Ryu, Eunho Yang
  Preprint

• Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domain [paper]
  Hangyul Yoon, Doohyuk Jang, Jungeun Kim, Eunho Yang
  Preprint

Education

• Ph.D. in Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST), Sep. 2024 - Present

• M.S. in Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST), Mar. 2023 - Aug. 2024

• B.S. in Electrical Engineering, Computer Science, Korea Advanced Institute of Science and Technology (KAIST), Mar. 2018 - Feb. 2023

Work Experiences

• Intern, Synopsys Korea, Gyeonggi, South Korea, Mar 2021 - Aug 2021
• WBL Residency, NAVER Cloud, Gyeonggi, South Korea, Oct 2025 - Feb 2026

Projects

• Developing a conversational language model for virtual doctors, AITRICS, Apr. 2024 - May. 2024

Acamdeic Services

• Conference Reviewer
  • NeurIPS 2025
  • CVPR 2026
• Workshop Reviewer
  • SCOPE@ICLR 2025

Teaching Experience

• Teaching Assistant, Machine Learning for AI (AI501), KAIST, Fall 2024
• Teaching Assistant, Advanced Machine Learning for AI (AI601), KAIST, Spring 2025, Fall 2025