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The GAN is dead; long live the GAN! A Modern GAN Baseline | Summary

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This article explains the key points of The GAN is dead; long live the GAN! A Modern GAN Baseline. 2025-01-09 (arXiv), 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Huang, Yiwen, Gokaslan, Aaron, Kuleshov, Volodymyr, Tompkin, James. Brown University, Cornell University Paper Github Read this article in Korean Summary...

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The GAN is dead; long live the GAN! A Modern GAN Baseline 요약 설명

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이번 글에서는 The GAN is dead; long live the GAN! A Modern GAN Baseline 논문의 핵심 포인트만 간단히 정리한다. 2025년 1월 9일(Arxiv), 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Huang, Yiwen, Gokaslan, Aaron, Kuleshov, Volodymyr, Tompkin, James. Brown University, Cornell University 논문 링크 Github 영문판 보기 요약 생성적...

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Search-o1: Agentic Search-Enhanced Large Reasoning Models | Summary

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This article explains the key points of Search-o1: Agentic Search-Enhanced Large Reasoning Models. 2025-01-09 (arXiv) Li, Xiaoxi, Dong, Guanting, Jin, Jiajie, Zhang, Yuyao, Zhou, Yujia, Zhu, Yutao, Zhang, Peitian, Dou, Zhicheng. Renmin University of China, Tsinghua University Paper Read this article in Korean Summary Search-o1 addresses missing knowledge that can...

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Search-o1: Agentic Search-Enhanced Large Reasoning Models 요약 설명

KO |

이번 글에서는 Search-o1: Agentic Search-Enhanced Large Reasoning Models 논문의 핵심 포인트만 간단히 정리한다. 2025년 1월 9일(Arxiv) Li, Xiaoxi, Dong, Guanting, Jin, Jiajie, Zhang, Yuyao, Zhou, Yujia, Zhu, Yutao, Zhang, Peitian, Dou, Zhicheng. Renmin University of China, Tsinghua University 논문 링크 영문판 보기 요약 Search-o1은 답변 전에 긴 단계별 추론을 생성하는...

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Agent Laboratory: Using LLM Agents as Research Assistants | Summary

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This article explains the key points of Agent Laboratory: Using LLM Agents as Research Assistants. 2025-01-08 (arXiv) Schmidgall, Samuel, Su, Yusheng, Wang, Ze, Sun, Ximeng, Wu, Jialian, Yu, Xiaodong, Liu, Jiang, Moor, Michael, Liu, Zicheng, Barsoum, Emad. AMD, Johns Hopkins University, ETH Zurich Paper Github Project Page Read this article...

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