Daewon Choi

Ph.D. student, ALIN-LAB @ KAIST

prof_pic.jpg

daeone0920 [AT] kaist.ac.kr

I am a Ph.D. student at the Algorithmic Intelligence Laboratory (ALIN-LAB), advised by Prof. Jinwoo Shin at KAIST. I received my B.S. in Industrial Management Engineering and Computer Science from Korea University in 2024.

My research focuses on addressing practical problems — such as efficiency and safety — of multimodal and language foundation models. I aim to develop algorithms that make these models reliably deployable under real-world constraints, with a current focus on inference-time techniques that improve efficiency and robustness without costly retraining.

I am also collaborating with Amazon AGI on related directions.

news

May 06, 2026 RLDX-1 Technical Report is out on arXiv!
Jan 25, 2026 HAMLET is accepted to ICLR 2026!
Aug 20, 2025 Two papers accepted to EMNLP 2025 Findings: Think Clearly and Mamba Drafters.
Sep 30, 2024 Adversarial Robustification via Text-to-Image Diffusion Models selected for Oral Presentation (top 2.3%) at ECCV 2024.
Feb 28, 2024 Started integrated M.S. & Ph.D. program at KAIST, advised by Prof. Jinwoo Shin.

selected publications

*Equal contribution · Corresponding author

  1. Preprint
    RLDX-1 Technical Report
    arXiv, 2026
  2. ICLR
    HAMLET: Switch Your Vision-Language-Action Model into a History-Aware Policy
    In International Conference on Learning Representations, 2026
  3. EMNLP
    Think Clearly: Improving Reasoning via Redundant Token Pruning
    In Findings of the Association for Computational Linguistics: EMNLP 2025
  4. EMNLP
    Mamba Drafters for Speculative Decoding
    In Findings of the Association for Computational Linguistics: EMNLP 2025
  5. ECCV
    Adversarial Robustification via Text-to-Image Diffusion Models
    In European Conference on Computer Vision (ECCV), 2024
    Oral Presentation (top 2.3%)