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NVIDIA Nemotron 3: Efficient and Open Intelligence 요약 설명

KO 24 Dec 2025 | Paper Review Mixture-of-Experts LLM Pretraining Reinforcement Learning Long-Context Language Models

이번 글에서는 NVIDIA Nemotron 3: Efficient and Open Intelligence 논문의 핵심 포인트만 간단히 정리한다. 2025년 12월 24일(Arxiv) NVIDIA, Blakeman, Aaron, Grattafiori, Aaron, Basant, Aarti, Gupta, Abhibha, Khattar, Abhinav, Renduchintala, Adi, Vavre, Aditya, Shukla, Akanksha, Bercovich, Akhiad, et al. NVIDIA 논문 링크 영문판 보기 요약 NVIDIA Nemotron 3: Efficient and Open...

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Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning | Summary

EN 23 Dec 2025 | Paper Review Hierarchical Reinforcement Learning Self-Supervised Learning Activation Steering

This article explains the key points of Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning. 2025-12-23 (arXiv) Kobayashi, Seijin, Schimpf, Yanick, Schlegel, Maximilian, Steger, Angelika, Wolczyk, Maciej, von Oswald, Johannes, Scherrer, Nino, Maile, Kaitlin, Lajoie, Guillaume, Richards, Blake A., et al. Google, Paradigms of Intelligence Team, Google Paper...

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Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning 요약 설명

KO 23 Dec 2025 | Paper Review Hierarchical Reinforcement Learning Self-Supervised Learning Activation Steering

이번 글에서는 Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning 논문의 핵심 포인트만 간단히 정리한다. 2025년 12월 23일(Arxiv) Kobayashi, Seijin, Schimpf, Yanick, Schlegel, Maximilian, Steger, Angelika, Wolczyk, Maciej, von Oswald, Johannes, Scherrer, Nino, Maile, Kaitlin, Lajoie, Guillaume, Richards, Blake A., et al. Google, Paradigms of Intelligence Team, Google...

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Adaptation of Agentic AI: A Survey of Post-Training, Memory, and Skills | Summary

EN 18 Dec 2025 | Paper Review Agent Learning Agent's Memory Agentic Skills

This article explains the key points of Adaptation of Agentic AI: A Survey of Post-Training, Memory, and Skills. 2025-12-18 (arXiv) Jiang, Pengcheng, Lin, Jiacheng, Shi, Zhiyi, Wang, Zifeng, He, Luxi, Wu, Yichen, Zhong, Ming, Song, Peiyang, Zhang, Qizheng, Wang, Heng, et al. UIUC, Stanford, Princeton, Harvard, UC Berkeley, Caltech, UW,...

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Adaptation of Agentic AI: A Survey of Post-Training, Memory, and Skills 요약 설명

KO 18 Dec 2025 | Paper Review Agent Learning Agent's Memory Agentic Skills

이번 글에서는 Adaptation of Agentic AI: A Survey of Post-Training, Memory, and Skills 논문의 핵심 포인트만 간단히 정리한다. 2025년 12월 18일(Arxiv) Jiang, Pengcheng, Lin, Jiacheng, Shi, Zhiyi, Wang, Zifeng, He, Luxi, Wu, Yichen, Zhong, Ming, Song, Peiyang, Zhang, Qizheng, Wang, Heng, et al. UIUC, Stanford, Princeton, Harvard, UC Berkeley, Caltech,...

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