This article explains the key points of ReVision: Refining Video Diffusion with Explicit 3D Motion Modeling. 2025-04-30 (arXiv), Transactions on Machine Learning Research (01/2026) Liu, Qihao, He, Ju, Yu, Qihang, Chen, Liang-Chieh, Yuille, Alan. Johns Hopkins University, Independent Researcher Paper Project Page Source version. This retrospective W18 article reviews arXiv...

이번 글에서는 ReVision: Refining Video Diffusion with Explicit 3D Motion Modeling 논문의 핵심 포인트만 간단히 정리한다. 2025년 4월 30일(Arxiv), Transactions on Machine Learning Research (01/2026) Liu, Qihao, He, Ju, Yu, Qihang, Chen, Liang-Chieh, Yuille, Alan. Johns Hopkins University, Independent Researcher 논문 링크 Project Page 원문 버전. 이 W18 회고 글은...

This article explains the key points of Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math. 2025-04-30 (arXiv) Xu, Haoran, Peng, Baolin, Awadalla, Hany, Chen, Dongdong, Chen, Yen-Chun, Gao, Mei, Kim, Young Jin, Li, Yunsheng, Ren, Liliang, Shen, Yelong, et al. Microsoft Paper Read this article in Korean...

이번 글에서는 Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math 논문의 핵심 포인트만 간단히 정리한다. 2025년 4월 30일(Arxiv) Xu, Haoran, Peng, Baolin, Awadalla, Hany, Chen, Dongdong, Chen, Yen-Chun, Gao, Mei, Kim, Young Jin, Li, Yunsheng, Ren, Liliang, Shen, Yelong, et al. Microsoft 논문 링크 영문판 보기 요약...

Read this article in Korean Trends April 2025’s theme is how computation is organized: the three selected papers explore numerical precision, selective parameter use, and executable generation procedures to improve model efficiency or task performance. BitNet trains with ternary weights, restricted to {−1, 0, +1}; Kimi-VL uses a Mixture-of-Experts decoder,...