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Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players | Summary

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This article explains the key points of Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players. 2026-05-27 (arXiv) Liu, Fangfu, He, Kai, Shen, Tianchang, Cao, Tianshi, Fidler, Sanja, Duan, Yueqi, Gao, Jun, Gilitschenski, Igor, Wang, Zian, Ren, Xuanchi. NVIDIA, Tsinghua University, University of Toronto, Vector Institute Paper Project Page Read this...

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Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players 요약 설명

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이번 글에서는 Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players 논문의 핵심 포인트만 간단히 정리한다. 2026년 5월 27일(Arxiv) Liu, Fangfu, He, Kai, Shen, Tianchang, Cao, Tianshi, Fidler, Sanja, Duan, Yueqi, Gao, Jun, Gilitschenski, Igor, Wang, Zian, Ren, Xuanchi. NVIDIA, Tsinghua University, University of Toronto, Vector Institute 논문 링크 Project Page...

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AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation | Summary

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This article explains the key points of AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation. 2026-05-27 (arXiv) Gao, Shanghua, Fang, Ada, Zitnik, Marinka. Harvard University Paper Project Page Read this article in Korean Summary AUTOSCIENTISTS coordinates long-running computational experimentation without a central planner agent. Agents critique proposals, form and reorganize...

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AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation 요약 설명

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이번 글에서는 AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation 논문의 핵심 포인트만 간단히 정리한다. 2026년 5월 27일(Arxiv) Gao, Shanghua, Fang, Ada, Zitnik, Marinka. Harvard University 논문 링크 Project Page 영문판 보기 요약 AUTOSCIENTISTS는 중앙 계획 에이전트 없이 장기간 계산 실험을 조율한다. 에이전트들은 제안을 비평하고 팀을 구성하거나 재편한다. 실험 근거가...

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LiveFigure: Generating Editable Scientific Illustration with VLM Agents | Summary

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This article explains the key points of LiveFigure: Generating Editable Scientific Illustration with VLM Agents. 2026-05-22 (arXiv), Proceedings of the 43rd International Conference on Machine Learning, Seoul, South Korea. PMLR 306, 2026. Shao, Chenyang, Liu, Jiahe, Xu, Fengli, Li, Yong. Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China, Zhongguancun...

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