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mHC: Manifold-Constrained Hyper-Connections 요약 설명

31 Dec 2025 | Paper Review Residual Connections Hyper-Connections LLM Pretraining

이번 글에서는 mHC: Manifold-Constrained Hyper-Connections 논문의 핵심 포인트만 간단히 정리한다. 2025년 12월 31일(Arxiv) Xie, Zhenda, Wei, Yixuan, Cao, Huanqi, Zhao, Chenggang, Deng, Chengqi, Li, Jiashi, Dai, Damai, Gao, Huazuo, Chang, Jiang, Yu, Kuai, et al. DeepSeek-AI 논문 링크 영문판 보기 요약 mHC: Manifold-Constrained Hyper-Connections는 Hyper-Connections(HC)의 불안정성과 메모리 접근 오버헤드를 다룬다....

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Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space | Summary

31 Dec 2025 | Paper Review Latent Reasoning Adaptive Computation Scaling Laws

This article explains the key points of Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space. 2025-12-31 (arXiv) Qu, Xingwei, Wang, Shaowen, Huang, Zihao, Hua, Kai, Yin, Fan, Zhu, Rui-Jie, Zhou, Jundong, Min, Qiyang, Wang, Zihao, Li, Yizhi, et al. ByteDance Seed, University of Manchester, Mila - Quebec...

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Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space 요약 설명

31 Dec 2025 | Paper Review Latent Reasoning Adaptive Computation Scaling Laws

이번 글에서는 Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space 논문의 핵심 포인트만 간단히 정리한다. 2025년 12월 31일(Arxiv) Qu, Xingwei, Wang, Shaowen, Huang, Zihao, Hua, Kai, Yin, Fan, Zhu, Rui-Jie, Zhou, Jundong, Min, Qiyang, Wang, Zihao, Li, Yizhi, et al. ByteDance Seed, University of Manchester, Mila -...

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NVIDIA Nemotron 3: Efficient and Open Intelligence | Summary

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

This article explains the key points of NVIDIA Nemotron 3: Efficient and Open Intelligence. 2025-12-24 (arXiv) NVIDIA, Blakeman, Aaron, Grattafiori, Aaron, Basant, Aarti, Gupta, Abhibha, Khattar, Abhinav, Renduchintala, Adi, Vavre, Aditya, Shukla, Akanksha, Bercovich, Akhiad, et al. NVIDIA Paper Read this article in Korean Summary NVIDIA Nemotron 3: Efficient and...

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NVIDIA Nemotron 3: Efficient and Open Intelligence 요약 설명

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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