Seyeon Choi

PhD Student, Seoul National University

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

NeurIPS 2026 (E&D Track)

WebArena-Pro: A Heterogeneous, Multimodal, Reproducible Benchmark for Web Agents

Imene Kerboua*, Fatemeh Pesaran Zadeh*, Xing Han Lù, Weijian Qi, Alexander Miller, Junyi Song, Yunjia Tian, Dongjin Kang, Seyeon Choi, Marzia Nouri, Ewen Gueguen, Matteo Boglioni, Fengyuan Liu, Zeyi Liao, Mengqi Yuan, Yue Li, Alexandre Lacoste, Alexandre Drouin, Spandana Gella, Huan Sun, Gunhee Kim, Siva Reddy

[PDF]

* Equal contribution

ICML 2026

Weasel: Out-of-Domain Generalization for Web Agents via Importance-Diversity Data Selection

Fatemeh Pesaran Zadeh*, Seyeon Choi*, Xing Han Lù, Siva Reddy and Gunhee Kim

[PDF] [Project] [Code]

* Equal contribution

NAACL SRW 2024

Improving Multi-lingual Alignment Through Soft Contrastive Learning

Minsu Park*, Seyeon Choi*, Chanyeol Choi, Jun-Seong Kim, Jy-yong Sohn

[PDF]

* Equal contribution

Experience

Ludo Robotics

Intern

September 2026 – October 2026

Participated in the BEHAVIOR Challenge 2026.

Seoul National University

Research Intern
Advised by Gunhee Kim

July 2024 – Feb 2025

Out-of-domain generalization for web agents. Studied why web agents degrade on unseen websites and how training data should be selected to close that gap, leading to Weasel (ICML 2026).

Co-led the LLM subgroup of an accessibility-focused AI docent project. Worked with Heeseung Yun to manage five researchers and deploy RAG-based systems across three major museums in Seoul; the project was featured at the Korea Metaverse Festival.

Yonsei University

Research Intern
Advised by Jinyeong Yeo

June 2023 – June 2024

Supported experiments for two LLM papers. CAFFEINE, on keeping persona quality consistent as the underlying information changes over time, and Coffee, on improving code LLMs by fixing bugs with feedback.

Education

Seoul National University

PhD student (IPAI)

March 2025 – Present

Advised by Prof. Gunhee Kim at the Vision & Learning Lab. 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

March 2020 – February 2025

GPA 4.08 / 4.3. Minor in Industrial Engineering. High honor in 2020-1, and honor in 2021-1, 2022-1 and 2023-2. Coursework and projects across machine learning, systems and applied AI.

University of California, Berkeley

Exchange Student

January 2023 – May 2023

GPA 3.83 / 4.0. Coursework in Abstract Algebra, Computer Security, Introduction to Analysis, and Applications of Parallel Computers (CS267).

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 📚

A few photos I took along the way. Click one to see it larger.