Kai Tzu-iunn Ong
Hello there. I am Kai, an AI scientist from Taipei, Taiwan. I am pursuing my Ph.D in AI under the supervision of prof. Jinyoung Yeo. I regularly travel between Taiwan, Korea, and the US (I just got back from a short visiting at ASU, Arizona). Before diving into the world of AI in 2022, I had studied mechanical engineering at both National Taiwan University and Yonsei University. Yes, I literally had done "machine" learning xD I focus on solving real-world problems with methods that align with human reasoning. Here are some keywords describing my research interests more specifically: # Large Language Models (LLMs) # Machine Reasoning # AI + X (e.g., AI for medicine; AI for chemistry) I wish to and am trying to make positive impact on those around me and avoid living a fruitless life. Fyi I am a polyglot, a freelanced model, and a gym rat. You can reach out to me via these. |
Featured Publications and Preprints
{ } = Co-first authorship. † = Correspondence. The presentation of author names, i.e., whether full names or initials, does not reflect authors' contribution.
Preprints or Under Review
• Evidence-guided Deep Learning to Diagnose Serous Retinal Detachments on Optical Coherence Tomography
Kai Tzu-iunn Ong, TK Yoo, JD Kim, Jinyoung Yeo, Eun Young Choi†
Apr 2024 under review | [Forthcoming]
• Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
Hyungjoo Chae, Yeonghyeon Kim, Seungone Kim, Kai Tzu-iunn Ong, Beong-woo Kwak, Moohyeon Kim, S Kim, T Kwon, S Moon, J Chung, Youngjae Yu, Jinyoung Yeo†
Mar 2024 under review | [Paper] [⭐ Featured in AK's Daily Paper ⭐]
• Age-Related Scattered Hypofluorescent Spots as an Adverse Prognostic Factor for Polypoidal Choroidal Vasculopathy: A Machine Learning Analysis
{Seo Hee Kim, Kai Tzu-iunn Ong}, S Choi, EJ Chung, M Kim, CS Lee, Jinyoung Yeo, Eun Young Choi†
Mar 2024 under review | [Forthcoming]
• Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback
{Seungjun Moon, Hyungjoo Chae, Yongho Song}, Taeyoon Kwon, Dongjin Kang, Kai Tzu-iunn Ong, Seung-won Hwang, Jinyoung Yeo†
Feb 2024 under review | [Paper]
2023 ~ 2024
• Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement
Hana Kim, Kai Tzu-iunn Ong, Seoyeon Kim, Dongha Lee, Jinyoung Yeo†
In Proceedings of EACL, 2024 (oral) | [Paper]
• Multi-task Deep Learning for Joint Detection of Necrotizing Viral and Non-infectious Retinitis from Common Blood and Serology Test Data
{Kai Tzu-iunn Ong, Taeyoon Kwon}, H Jang, M Kim, CS Lee, SH Byeon, SS Kim, Jinyoung Yeo†, Eun Young Choi†
Investigative Ophthalmology & Visual Science, 2024 (Q1; IF = 4.93) | [Paper]
• Large Language Models Are Clinical Reasoners: Reasoning-aware Diagnosis Framework with Prompt-generated Rationales
{Taeyoon Kwon, Kai Tzu-iunn Ong}, Dongjin Kang, Seungjun Moon, JR Lee, D Hwang, Y Sim, B Sohn, Dongha Lee, Jinyoung Yeo†
In Proceedings of AAAI, 2024 | [Paper]
• Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents
{Hyungjoo Chae, Yongho Song}, Kai Tzu-iunn Ong, Taeyoon Kwon, Minjin Kim, Youngjae Yu†, Dongha Lee†, Dongyeop Kang, Jinyoung Yeo†
In Proceedings of EMNLP, 2023 | [Paper]
• Natural Language Processing to Predict Isocitrate Dehydrogenase Genotype in Diffuse Glioma Using MR Radiology Reports
Minjae Kim, Kai Tzu-iunn Ong, S Choi, Jinyoung Yeo, S Kim, K han, JE Park, HS Kim, YS Choi, SS Ahn, J Kim, SK Lee, Beomseok Sohn†
European Radiology, 2023 (Q1; IF = 7.03) | [Paper]
• Evidence-empowered Transfer Learning for Alzheimer's Disease
Kai Tzu-iunn Ong, Hana Kim, Minjin Kim, J Jang, B Sohn, YS Choi, D Hwang, Seong Jae Hwang, Jinyoung Yeo†
In Proceedings of IEEE ISBI, 2023 (oral) | [Oral] [Paper] [Poster]
Work in progress: (1) Machine reasoning, (2) Reaction extraction w/ SNU CBE
Preprints or Under Review
• Evidence-guided Deep Learning to Diagnose Serous Retinal Detachments on Optical Coherence Tomography
Kai Tzu-iunn Ong, TK Yoo, JD Kim, Jinyoung Yeo, Eun Young Choi†
Apr 2024 under review | [Forthcoming]
• Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
Hyungjoo Chae, Yeonghyeon Kim, Seungone Kim, Kai Tzu-iunn Ong, Beong-woo Kwak, Moohyeon Kim, S Kim, T Kwon, S Moon, J Chung, Youngjae Yu, Jinyoung Yeo†
Mar 2024 under review | [Paper] [⭐ Featured in AK's Daily Paper ⭐]
• Age-Related Scattered Hypofluorescent Spots as an Adverse Prognostic Factor for Polypoidal Choroidal Vasculopathy: A Machine Learning Analysis
{Seo Hee Kim, Kai Tzu-iunn Ong}, S Choi, EJ Chung, M Kim, CS Lee, Jinyoung Yeo, Eun Young Choi†
Mar 2024 under review | [Forthcoming]
• Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback
{Seungjun Moon, Hyungjoo Chae, Yongho Song}, Taeyoon Kwon, Dongjin Kang, Kai Tzu-iunn Ong, Seung-won Hwang, Jinyoung Yeo†
Feb 2024 under review | [Paper]
2023 ~ 2024
• Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement
Hana Kim, Kai Tzu-iunn Ong, Seoyeon Kim, Dongha Lee, Jinyoung Yeo†
In Proceedings of EACL, 2024 (oral) | [Paper]
• Multi-task Deep Learning for Joint Detection of Necrotizing Viral and Non-infectious Retinitis from Common Blood and Serology Test Data
{Kai Tzu-iunn Ong, Taeyoon Kwon}, H Jang, M Kim, CS Lee, SH Byeon, SS Kim, Jinyoung Yeo†, Eun Young Choi†
Investigative Ophthalmology & Visual Science, 2024 (Q1; IF = 4.93) | [Paper]
• Large Language Models Are Clinical Reasoners: Reasoning-aware Diagnosis Framework with Prompt-generated Rationales
{Taeyoon Kwon, Kai Tzu-iunn Ong}, Dongjin Kang, Seungjun Moon, JR Lee, D Hwang, Y Sim, B Sohn, Dongha Lee, Jinyoung Yeo†
In Proceedings of AAAI, 2024 | [Paper]
• Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents
{Hyungjoo Chae, Yongho Song}, Kai Tzu-iunn Ong, Taeyoon Kwon, Minjin Kim, Youngjae Yu†, Dongha Lee†, Dongyeop Kang, Jinyoung Yeo†
In Proceedings of EMNLP, 2023 | [Paper]
• Natural Language Processing to Predict Isocitrate Dehydrogenase Genotype in Diffuse Glioma Using MR Radiology Reports
Minjae Kim, Kai Tzu-iunn Ong, S Choi, Jinyoung Yeo, S Kim, K han, JE Park, HS Kim, YS Choi, SS Ahn, J Kim, SK Lee, Beomseok Sohn†
European Radiology, 2023 (Q1; IF = 7.03) | [Paper]
• Evidence-empowered Transfer Learning for Alzheimer's Disease
Kai Tzu-iunn Ong, Hana Kim, Minjin Kim, J Jang, B Sohn, YS Choi, D Hwang, Seong Jae Hwang, Jinyoung Yeo†
In Proceedings of IEEE ISBI, 2023 (oral) | [Oral] [Paper] [Poster]
Work in progress: (1) Machine reasoning, (2) Reaction extraction w/ SNU CBE
Education / Academia ExperiencesPh.D in Artificial Intelligence - Yonsei University, Korea
– (Sep 2022 - Expected 2027) B.Sc in Mechanical Engineering - Yonsei University, Korea – (Mar 2018 - Dec 2021) B.Sc in Mechanical Engineering - National Taiwan University, Taiwan – (Aug 2016 - Feb 2018 Voluntarily Ceased) |
Related Industrial ExperiencesSeverance Hospital Korea – (Nov 2022 - Present)
AI researcher at the Dept. of (1) radiology; (2) ophthalmology TUTORING @ Market Designers Korea – (May 2022 - Jan 2024) Conversational AI for personalised English education Samsung Korea – (Feb 2022 - Sep 2023) Machine reasoning for the diagnosis of Alzheimer's disease |
Teaching and Invited Talks- TA @ Natural language processing [AAI3301], Yonsei university (Spring, 2024)
- TA @ AI specialist program, Samsung, Korea (Jul, 2023) - TA @ Big data [CSI4121], Yonsei university (Spring, 2023) |
Spoken LanguagesNative:
Taiwanese Hokkien 🇹🇼 , Mandarin (Taiwan, Traditional) 🇹🇼 Full professional proficiency (C1.5 ~ C2): English 🇬🇧 , Korean 🇰🇷 Limited conversational proficiency (A1 ~ A2): Japanese 🇯🇵 Limited comprehension: Spanish 🇪🇸, German 🇩🇪 |
Kai Tzu-iunn Ong 2022 | All Rights Reserved | Last Edited: 2024. 04. 20