Ye, Seonghyeon

Magma: A Foundation Model for Multimodal AI Agents

Yang, J., Tan, R., Wu, Q., Zheng, R., Peng, B., Liang, Y., Gu, Y., Cai, M., Ye, S., Jang, J., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 53

Towards Continual Knowledge Learning of Language Models

Jang, J., Ye, S., Yang, S., Shin, J., Han, J., Kim, G., Choi, S. J., & Seo, M. (2021) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 49

TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models

Jang, J., Ye, S., Lee, C., Yang, S., Shin, J., Han, J., Kim, G., & Seo, M. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 45

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

NVIDIA, :, Bjorck, J., Castañeda, F., Cherniadev, N., Da, X., Ding, R., Fan, L. "., Fang, Y., Fox, D., et al. (2025) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 10

Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models

Kim, Y., Yoon, J., Ye, S., Bae, S., Ho, N., Hwang, S. J., & Yun, S.-Y. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 2

World Simulation with Video Foundation Models for Physical AI

NVIDIA, :, Ali, A., Bai, J., Bala, M., Balaji, Y., Blakeman, A., Cai, T., Cao, J., Cao, T., et al. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 1