This article explains the key points of Introspective Diffusion Language Models. 2026-04-13 (arXiv) Yu, Yifan, Jian, Yuqing, Wang, Junxiong, Zhou, Zhongzhu, Zhuang, Donglin, Fang, Xinyu, Yanamandra, Sri, Wu, Xiaoxia, Wu, Qingyang, Song, Shuaiwen Leon, et al. Together AI, University of Illinois Urbana-Champaign, The University of Texas at Austin, Princeton University,...

이번 글에서는 Introspective Diffusion Language Models 논문의 핵심 포인트만 간단히 정리한다. 2026년 4월 13일(Arxiv) Yu, Yifan, Jian, Yuqing, Wang, Junxiong, Zhou, Zhongzhu, Zhuang, Donglin, Fang, Xinyu, Yanamandra, Sri, Wu, Xiaoxia, Wu, Qingyang, Song, Shuaiwen Leon, et al. Together AI, University of Illinois Urbana-Champaign, The University of Texas at Austin, Princeton...

This article explains the key points of In-Place Test-Time Training. 2026-04-07 (arXiv) Feng, Guhao, Luo, Shengjie, Hua, Kai, Zhang, Ge, He, Di, Huang, Wenhao, Cai, Tianle. ByteDance Seed, Peking University Paper Github Read this article in Korean Summary In-Place Test-Time Training updates the final projection matrix of existing Transformer MLP...

이번 글에서는 In-Place Test-Time Training 논문의 핵심 포인트만 간단히 정리한다. 2026년 4월 7일(Arxiv) Feng, Guhao, Luo, Shengjie, Hua, Kai, Zhang, Ge, He, Di, Huang, Wenhao, Cai, Tianle. ByteDance Seed, Peking University 논문 링크 Github 영문판 보기 요약 In-Place Test-Time Training은 attention을 유지하면서 문맥에 따라 기존 Transformer MLP 블록의 마지막 projection...

This article explains the key points of Synthetic Sandbox for Training Machine Learning Engineering Agents. 2026-04-06 (arXiv) Zhou, Yuhang, Zhang, Lizhu, Wu, Yifan, Liu, Jiayi, Fan, Xiangjun, Zhao, Zhuokai, Yan, Hong. Meta AI Paper Read this article in Korean Summary Synthetic Sandbox for Training Machine Learning Engineering Agents introduces SandMLE,...