이번 글에서는 Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward 논문의 핵심 포인트만 간단히 정리한다. 2025년 8월 18일(Arxiv) Deng, Yong, Wang, Guoqing, Ying, Zhenzhe, Wu, Xiaofeng, Lin, Jinzhen, Xiong, Wenwen, Dai, Yuqin, Yang, Shuo, Zhang, Zhanwei, Wang, Qiwen, et al. Ant Group 논문 링크 Github 영문판 보기 요약...

This article explains the key points of Train Long, Think Short: Curriculum Learning for Efficient Reasoning. 2025-08-12 (arXiv) Hammoud, Hasan Abed Al Kader, Alhamoud, Kumail, Hammoud, Abed, Bou-Zeid, Elie, Ghassemi, Marzyeh, Ghanem, Bernard. King Abdullah University of Science and Technology (KAUST), Saudi Arabia, Massachusetts Institute of Technology (MIT), Cambridge, MA,...

이번 글에서는 Train Long, Think Short: Curriculum Learning for Efficient Reasoning 논문의 핵심 포인트만 간단히 정리한다. 2025년 8월 12일(Arxiv) Hammoud, Hasan Abed Al Kader, Alhamoud, Kumail, Hammoud, Abed, Bou-Zeid, Elie, Ghassemi, Marzyeh, Ghanem, Bernard. King Abdullah University of Science and Technology (KAUST), Saudi Arabia, Massachusetts Institute of Technology (MIT), Cambridge,...

This article explains the key points of AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators. 2025-08-12 (arXiv) Chou, Jason, Liu, Ao, Deng, Yuchi, Zeng, Zhiying, Zhang, Tao, Zhu, Haotian, Cai, Jianwei, Mao, Yue, Zhang, Chenchen, Tan, Lingyun, et al. Hunyuan Team, Tencent Paper Read this article in Korean Summary...

이번 글에서는 AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators 논문의 핵심 포인트만 간단히 정리한다. 2025년 8월 12일(Arxiv) Chou, Jason, Liu, Ao, Deng, Yuchi, Zeng, Zhiying, Zhang, Tao, Zhu, Haotian, Cai, Jianwei, Mao, Yue, Zhang, Chenchen, Tan, Lingyun, et al. Hunyuan Team, Tencent 논문 링크 영문판 보기 요약 AutoCodeBench는...