This article explains the key points of On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models. 2025-12-08 (arXiv) Zhang, Charlie, Neubig, Graham, Yue, Xiang. Carnegie Mellon University, Language Technologies Institute Paper Github Read this article in Korean Summary The paper asks when reinforcement learning (RL), training with...

이번 글에서는 On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models 논문의 핵심 포인트만 간단히 정리한다. 2025년 12월 8일(Arxiv) Zhang, Charlie, Neubig, Graham, Yue, Xiang. Carnegie Mellon University, Language Technologies Institute 논문 링크 Github 영문판 보기 요약 이 논문은 보상으로 학습하는 강화학습(RL)이 언제 언어 모델이 사전학습에서 배운...

This article explains the key points of SIMA 2: A Generalist Embodied Agent for Virtual Worlds. 2025-12-04 (arXiv) SIMA team, Bolton, Adrian, Lerchner, Alexander, Cordell, Alexandra, Moufarek, Alexandre, Bolt, Andrew, Lampinen, Andrew, Mitenkova, Anna, Hallingstad, Arne Olav, Vujatovic, Bojan, et al. Google DeepMind Paper Read this article in Korean Summary...

이번 글에서는 SIMA 2: A Generalist Embodied Agent for Virtual Worlds 논문의 핵심 포인트만 간단히 정리한다. 2025년 12월 4일(Arxiv) SIMA team, Bolton, Adrian, Lerchner, Alexander, Cordell, Alexandra, Moufarek, Alexandre, Bolt, Andrew, Lampinen, Andrew, Mitenkova, Anna, Hallingstad, Arne Olav, Vujatovic, Bojan, et al. Google DeepMind 논문 링크 영문판 보기 요약 이...

This article explains the key points of Guided Self-Evolving LLMs with Minimal Human Supervision. 2025-12-02 (arXiv) Yu, Wenhao, Liang, Zhenwen, Huang, Chengsong, Panaganti, Kishan, Fang, Tianqing, Mi, Haitao, Yu, Dong. Tencent AI Lab in Seattle, Washington University in St. Louis Paper Read this article in Korean Summary The paper addresses...