About Me
Hi, I’m Seyeon Choi, a PhD student at Seoul National University, affiliated with the Vision & Learning Lab. My research focuses on building generalizable embodied agents, with particular interest in grounding, interaction, and decision-making in complex environments.
I am currently exploring how large language models can move beyond static reasoning to act robustly as agents, especially under distribution shifts and unseen environments. My long-term goal is to develop agents that integrate symbolic reasoning with reinforcement learning to enable flexible, human-like behavior across diverse settings.
I have research experience across vision, language, and agent systems through internships and projects at multiple labs, and I enjoy translating theoretical ideas into practical, scalable systems.
Publications
Improving Multi-lingual Alignment Through Soft Contrastive Learning
Minsu Park*, Seyeon Choi*, Chanyeol Choi, Jun-Seong Kim, Jy-yong Sohn (NAACL Student Research Workshop 2024)
Projects
Generalizable Web Agent (Capstone Design II)
Improving generalization of web agents to unseen websites via exemplar-based memory.
Designed a web agent that improves performance on unseen websites by constructing an exemplar memory during an exploration phase and leveraging it at inference time. This project focuses on robustness and cross-website generalization beyond in-domain training. Currently in progress as part of Software Capstone Design (II).
Robust Face Forgery Detection
Domain-robust deepfake detection using contrastive learning.
Built a robust deepfake detection system using supervised contrastive loss and domain-adversarial networks. This work was published and accepted at IPIU 2024, conducted as part of Software Capstone Design (I).
Multi-GPU Catmull–Clark Subdivision
Implemented the Catmull–Clark subdivision surface algorithm on multiple GPUs as part of CS267: Application of Parallel Computers. Focused on parallelization efficiency and scalability.
Experience
Vision & Learning Lab, Seoul National University
Research Intern (Advised by Gunhee Kim)
July 2024 – Feb 2025
Conducted research on web agents with a focus on grounding and interaction. Worked on agent generalization and robustness in real-world web environments.
Data and Language Intelligence Lab
Research Intern (Advised by Jinyeong Yeo)
June 2023 – June 2024
Supported experiments for CAFFEINE and Coffee, focusing on improving persona consistency in language models under temporal information changes. Participated in discussions on maintaining long-term persona quality.
Education
Seoul National University
PhD Student, IPAI (Vision & Learning Lab)
March 2025 – Present
PhD student advised by Prof. Gunhee Kim. Research focuses on embodied agents, grounding, and interaction, with a long-term goal of building generalizable decision-making agents.
Yonsei University
B.S. in Computer Science (Minor in Industrial Engineering)
March 2020 – February 2025
GPA: 4.08 / 4.3. Received multiple academic honors across semesters. Completed coursework and projects in machine learning, systems, and applied AI.
University of California, Berkeley
Exchange Student
January 2023 – May 2023
GPA: 3.83 / 4.0. Coursework included Abstract Algebra, Computer Security, Introduction to Analysis, and Application of Parallel Computing.
A Little More About Me
Outside of my research, I enjoy activities that help me recharge and stay curious.
- Cooking, especially Asian cuisine
- Exploring new restaurants and cafés ☕️
- Collecting and enjoying fragrances, with a preference for citrus 🍋🟩, floral 🌸, and soft musk notes
- Reading books in my spare time 📚
Below is a photo I took during one of my walks.
