About
Hi, I am a Senior Research Scientist at Nvidia GEAR Lab, leading the world model team for Project GR00T. Our main research agenda is to find a scaling axis for improving robot learning by scaling the total amount of GPUs with world models. Do reach out if you are interested in joining our team!News
May 2025
We release DreamGen, the first method that enables visuomotor robot policies to perform new verbs in new environments. [blog][VentureBeat][Youtube (short)][Youtube (talk)]
May 2025
Glad to share that The BiGGen Bench has won the best paper award in NAACL 2025!
March 2025
We release GR00T N1, the first foundation model for humanoid robots. I led the Video Generation Models and Latent Actions team.
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Education
University of WashingtonSep. 2023 - May 2025 (on leave)
Ph.D. Student (advisors: Luke Zettlemoyer and Dieter Fox)
Korea Advanced Institute of Science and Technology (KAIST) Mar. 2021 - Aug. 2023
M.S. in Artificial Intelligence (advisor: Minjoon Seo)
Korea UniversityMar. 2017 - Feb. 2021
B.S. in Computer Science
Publications
2026
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GRAPE: Generalizing Robot Policy via Preference Alignment
ICRA 2026
2025
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Comsos-Predict2.5: World Simulation with Video Foundation Models for Physical AI
Technical Whitepaper
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ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding
NeurIPS 2025
▶
FLARE: Robot Learning with Implicit World Modeling
CoRL 2025
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DreamGen: Unlocking Generalization in Robot Learning through Video World Models
CoRL 2025
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GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
Technical Whitepaper
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Magma: A Foundation Model for Multimodal AI Agents
CVPR 2025
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Latent Action Pretraining from Videos
ICLR 2025
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Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition
ICLR 2025
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HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation
ICLR 2025
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The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
NAACL 2025 (best paper)
2024
▶
Semiparametric Token-Sequence Co-Supervision
ACL 2024
▶
LangBridge: Multilingual Reasoning Without Multilingual Supervision
ACL 2024
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Exploring the Practicality of Generative Retrieval on Dynamic Corpora
EMNLP 2024
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How Well Do Large Language Models Truly Ground?
NAACL 2024
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Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging
NeurIPS 2024 AFM Workshop
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Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
ICLR 2024
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Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis
TACL 2024
2023
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The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
EMNLP 2023
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Retrieval of Soft Prompt Enhances Zero-shot Task Generalization
EMNLP 2023 Findings
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Knowledge Unlearning for Mitigating Privacy Risks in Language Models
ACL 2023
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Gradient Ascent Post-training Enhances Language Model Generalization
ACL 2023 (short)
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Prompt Injection: Parameterization of Fixed Inputs
ACL 2023 Findings
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Exploring the Benefits of Training Expert Language Models over Instruction Tuning
ICML 2023
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Guess the Instruction! Making Language Models Stronger Zero-Shot Learners
ICLR 2023
2022
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Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts
NeurIPS 2022 Workshop (TL4NLP)
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TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
EMNLP 2022
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Towards Continual Knowledge Learning of Language Models
ICLR 2022
2021
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Sequential targeting: A continual learning approach for data imbalance in text classification
Expert Systems with Applications (2021)
( * indicates equal contribution )
Vitæ
Full CV in PDF.
Nvidia GEAR Lab
March 2025 - Present (Ongoing)
Senior Research Scientist
Leading the world modeling team
Nvidia GEAR Lab
Oct 2024 - Feb 2025 (6 months)
Research Intern (Mentors: Scott Reed, Yuke Zhu, and Jim Fan)
Scalable methods for creating Foundation Models for Robotics
Nvidia Robotics Lab
March 2024 - Sep 2024 (6 months)
Research Intern (Mentors: Ajay Mandlekar and Dieter Fox)
Scalable methods for creating Foundation Models for Robotics
Allen Institute for AI (AI2)
June 2023 - Jan 2024 (8 months)
Research Intern (Mentors: Prithviraj Ammanabrolu, Yuchen Lin, Yejin Choi)
Personalized RLHF
University of Washington
Sep. 2023 - May 2025 (1 year 8 months)
Ph.D. Student (Advisor: Luke Zettlemoyer and Dieter Fox)
Foundation Models for Generalist AI Robots
LG AI Research
July 2022 - May 2023 (11 months)
Research Intern (Mentors: Moontae Lee, Lajanugen Logeswaran)
Working on developing LMs that can generalize to novel tasks
KAIST Language & Knowledge Lab
Mar. 2021 - Aug. 2023 (2 years 5 months)
M.S. Student (Advisor: Minjoon Seo)
Continual Adaptation of LLMs
Kakao Brain
Dec. 2020 - Feb. 2021 (3 months)
Research Intern (Mentor: Ildoo Kim)
Worked on large-scale representation learning
NAVER
Jul. 2020 - Sept. 2020 (3 months)
Software Engineer Intern
Worked on continual learning on hate speech detection
KIST Europe
Aug. 2019 - Jan. 2020 (6 months)
Research Intern (Mentor: Sungho Suh)
Worked on machine prognostics through ML
Korea University
Mar. 2017 - Feb. 2021 (4 years)
B.S. in Computer Science
