This article explains the key points of SWE-chat: Coding Agent Interactions From Real Users in the Wild. 2026-04-22 (arXiv), COLM 2026 Baumann, Joachim, Padmakumar, Vishakh, Li, Xiang, Yang, John, Yang, Diyi, Koyejo, Sanmi. Stanford University Paper Github Project Page Read this article in Korean Summary SWE-chat links real developer–agent conversations,...

이번 글에서는 SWE-chat: Coding Agent Interactions From Real Users in the Wild 논문의 핵심 포인트만 간단히 정리한다. 2026년 4월 22일(Arxiv), COLM 2026 Baumann, Joachim, Padmakumar, Vishakh, Li, Xiang, Yang, John, Yang, Diyi, Koyejo, Sanmi. Stanford University 논문 링크 Github Project Page 영문판 보기 요약 SWE-chat은 실제 개발자와 에이전트의 대화, 도구...

This article explains the key points of LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model. 2026-04-22 (arXiv) AI, Inclusion, Bie, Tiwei, Chen, Haoxing, Chen, Tieyuan, Cheng, Zhenglin, Cui, Long, Gan, Kai, Huang, Zhicheng, Lan, Zhenzhong, Li, Haoquan, et al. AGI Research Center, Inclusion AI Paper Github Read...

이번 글에서는 LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model 논문의 핵심 포인트만 간단히 정리한다. 2026년 4월 22일(Arxiv) AI, Inclusion, Bie, Tiwei, Chen, Haoxing, Chen, Tieyuan, Cheng, Zhenglin, Cui, Long, Gan, Kai, Huang, Zhicheng, Lan, Zhenzhong, Li, Haoquan, et al. AGI Research Center, Inclusion AI 논문 링크...

This article explains the key points of Image Generators are Generalist Vision Learners. 2026-04-22 (arXiv) Gabeur, Valentin, Long, Shangbang, Peng, Songyou, Voigtlaender, Paul, Sun, Shuyang, Bao, Yanan, Truong, Karen, Wang, Zhicheng, Zhou, Wenlei, Barron, Jonathan T., et al. Google DeepMind Paper Read this article in Korean Summary Image Generators are...