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Ethan Chern
I am a PhD student at the Generative AI Research Lab (GAIR), Shanghai Jiao Tong University, advised by Prof. Pengfei Liu. My current research interests are in video foundation models, real-time video generation, and world modeling.
Previously, I worked on LLM alignment, factuality, evaluation, and multimodal learning. I hold a Master's degree in Artificial Intelligence from the Language Technologies Institute, School of Computer Science at Carnegie Mellon University. During my Master's years at CMU, I was fortunate to work with Prof. Graham Neubig and Dr. Pengfei Liu on the factuality of LLMs and summarization models.
I also had the opportunity to collaborate with Prof. Yu Tsao on multi-modal speech enhancement and voice conversion. During my undergraduate years, I worked with Prof. Ching-Yi Lai on quantum error correction and information theory.
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Selected Publications
I'm currently interested in video foundation models, real-time video generation, and world modeling. Previously, my research focused on multimodal learning, LLM reasoning, and LLM alignment.
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Video Generation & Multimodal Learning
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LiveTalk: Real-Time Multimodal Interactive Video Diffusion via Improved On-Policy Distillation
Ethan Chern*, Zhulin Hu*, Bohao Tang*, Jiadi Su*, Steffi Chern, Zhijie Deng, Pengfei Liu
arxiv
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github
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Thinking with Generated Images
Ethan Chern*, Zhulin Hu*, Steffi Chern*, Siqi Kou, Jiadi Su, Yan Ma, Zhijie Deng, Pengfei Liu
arxiv
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github
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LIMO: Less is More for Reasoning
Yixin Ye, Zhen Huang, Yang Xiao, Ethan Chern, Shijie Xia, Pengfei Liu
arxiv
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github
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O1 Replication Journey--Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?
Zhen Huang*, Haoyang Zou*, Xuefeng Li*, Yixiu Liu*, Yuxiang Zheng*, Ethan Chern*, Shijie Xia*, Yiwei Qin, Weizhe Yuan, Pengfei Liu
arxiv
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github
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Alignment for Honesty
Yuqing Yang, Ethan Chern, Xipeng Qiu, Graham Neubig, Pengfei Liu
arxiv
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github
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FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios
I-Chun Chern, Steffi Chern, Shiqi Chen, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu
arxiv
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github
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