I am a fourth year PhD student in the School of Computing at KAIST. I work with Juho Kim as a member of KIXLAB.
My work falls in the intersection of human-computer interaction (HCI) and artificial intelligence (AI), focusing on interactive alignment. Specifically, I explore how to disentangle user inputs and AI outputs into interactive components that empower users to (1) iterate on their intents to guide the AI model, and (2) audit that the model’s behavior aligns with their intents.
Publications
Conference Papers
(Placeholder Title)
Interactive System for Exploring and Evaluating LLM Outputs at Scale
Tae Soo Kim,
et al.
Under Review
(Placeholder Title)
Benchmarking Model Ability to Predict Preferences from Interactions
Tae Soo Kim,
et al.
Under Review
Honorable Mention Award
Honorable Mention Award
Tae Soo Kim,
Seungsu Kim,
Yoonseo Choi,
Juho Kim
Sungsoo (Ray) Hong,
Minhyang (Mia) Suh,
Tae Soo Kim,
Irina Smoke,
Sangwha Sien,
Janet Ng,
Mark Zachry,
Juho Kim
CSCW 2019
ACM DL
Posters, Demos, Workshop Papers
Heechan Lee,
Tae Soo Kim,
Juho Kim
CHI 2025 Workshop on Human-centered Evaluation and Auditing of Language Models (HEAL)
Yoonjoo Lee,
Tae Soo Kim,
Juho Kim
CHI 2024 Workshop on Human-centered Evaluation and Auditing of Language Models (HEAL)
CHI 2024 Workshop on Computational Methodologies for Understanding, Automating, and Evaluating User Interfaces
CHI 2023 Workshop on Generative AI and HCI
ACL 2022 Workshop on Intelligent and Interactive Writing Assistants
Saelyne Yang,
Sangkyung Kwak,
Tae Soo Kim,
Juho Kim
CHI 2022 Workshop on Computational Approaches for Understanding, Generating, and Adapting User Interfaces
CHI 2020 Extended Abstract
ACM DL