Kuei-Chun Kao
Hi! I am Johnson (Kuei-Chun) Kao, a PhD student studying Computer Science at University of California, Los Angeles (UCLA), advised by Prof. Cho-Jui Hsieh.
I will be intern at Arena as Research Scientist Intern this summer in SF.
My research interest lies in the intersection of Human Computer Interaction (HCI), Computer Vision (CV), and Natural Language Processing (NLP), aiming to equip computers with the ability to understand data across different modalities. Besides, I love to build efficient, reliable and scalable machine learning systems in different scenarios. Previously, I was fortune to work at ByteDance, Appier with Prof. Min Sun. I received my B.Sc. degree from National Yang Ming Chiao Tung University (NYCU) where I was so lucky to be advised by Prof. Yung-Ju Chang, Prof. Wei-Chen Chiu, and Prof. Ching-Chun Huang. I was a Research Assistant at Institute of Information Science Academia Sinica, advised by Prof. Keh-Yih Su.
Specifically, I am interested in the following topcis:
- Understanding and Benchmarking the capabilities and limitations of LLM/MLLMs: Instruction finetuning and Prompt optimization of (M)LLMs, Multimodal language agents, Commonsense Reasoning, Reward Model
- Human-AI Collaboration: Explainable AI, Ubiquitous computing, Developing robust and practical AI systems
- Data Efficiency: Leveraging the generation ability of LLMs to create high-quality synthetic data to improve embodied agents and multimodal language models
Recent News
- May, 2026: Our paper about AutoRubric-T2I for robust reward model is out, please check out link.
- Feb, 2026: Our paper about Understanding T2I reward hacking is accpeted in CVPR 2026.
- Feb, 2026: Our paper about Biomedical Auto Prompt Optimization is accepted in Communications Medicine under Nature.
- Aug, 2025: Our paper QG-CoC is accepted in EMNLP 2025.
- April, 2025: One paper got accepted in IJHCS 2025.
- Sept, 2024: Our paper BeyondX is accepted in EMNLP 2024.
- June, 2024: Publish an Arxiv Paper about LLM reasoing, please check out link.
- Sep. 2023: Start Master and PhD study at UCLA.
- Jan. 2023: One paper got accpeted in CHI 2023.
