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Taehyun (Tae) Yang

Ph.D Student
University of Maryland
taeyang at umd dot com


Hey there, Iā€™m Taehyun (Tae) Yang! šŸ‘‹

šŸ“š Ph.D. Student at University of Maryland, Computer Science

Hi! I am an upcoming Ph.D. student in Computer Science at University of Maryland, advised by Fumeng Yang. Before UMD, I was a research intern at SNU HCIL - advised by Jinwook Seo and KAIST KIXLAB - advised by Juho Kim.

My current research focuses on Human-AI Interaction, including but not limited to:

  1. Intent ā€“ Investigating multi-turn interactions in LLMs to better identify user intent in long-form dialogue.
  2. Influence ā€“ Exploring how language in foundational models shapes public perception and decision-making.
  3. Scalability ā€“ Leveraging crowd intelligence to audit and improve efficiency in AI-driven mass decision systems.


Research Projects & Publications

  1. CHI
    Hyeon Jeon, Hyunwook Lee, Yun-Hsin Kuo, Taehyun Yang, Daniel Archambault, Sungahn Ko, Takanori Fujiwara, Kwan-Liu Ma, Jinwook Seo
    To show at CHI 2025

  2. SIGIR
    Hyunwoo Kim, Yoonseo Choi, Taehyun Yang, Honggu Lee, Chaneon Park, Yongju Lee, Jinyoung Kim, Juho Kim
    Accepted to LLM4Eval Workshop at SIGIR 2024


  3. TVCG
    Hyeon Jeon, Hyung-Kwon Ko, Soohyun Lee, Jake Hyun, Taehyun Yang, Gyehun Go, Jaemin Jo, Jinwook Seo
    Under Review for IEEE TVCG

Activities

Research Intern

  • Undergraduate Intern, SNU HCI Lab, Seoul National University
    Topic: The Bigger They Are, The Finer We See: Exploring Size in Visual Clustering Perception
    Advisor: Jinwook Seo

  • Undergraduate Intern, KIXLAB, KAIST
    Topic: Enhancing Conversational Search Through Real World User Interaction Analysis at Scale
    Advisor: Juho Kim

  • Undergraduate Intern, Tech4Good Lab, University of California, Santa Cruz
    Topic: Causeway: Enhancing Real-World Contributions in Web Development Learning using Micro-Role Hierarchies and Subgoal Labels
    Advisor: David Lee

Talks and Presentations

  • Workshop Speaker, K-VIS Workshop Korea Software Congress 2023 (Dec. 2023)
    Topic: Exploring Visual Perception and Scatterplot Features

  • Workshop Speaker, Liberal Arts and Sciences Academic Festival (Feb. 2024)
    Topic: Enhancing Conversational Search Through Real World User Interaction Analysis at Scale