EN
04 Feb 2026
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Paper Review
Out-of-Distribution Detection
LLM Safety
Unsupervised Learning
This article explains the key points of Trust The Typical. 2026-02-04 (arXiv), ICLR 2026 Ganguly, Debargha, Sankar, Sreehari, Zhang, Biyao, Singh, Vikash, Gupta, Kanan, Kavuru, Harshini, Luo, Alan, Chen, Weicong, Morningstar, Warren, Machiraju, Raghu, et al. Case Western Reserve University, University of Pittsburgh, The Ohio State University, Google Research Paper...
KO
04 Feb 2026
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Paper Review
Out-of-Distribution Detection
LLM Safety
Unsupervised Learning
이번 글에서는 Trust The Typical 논문의 핵심 포인트만 간단히 정리한다. 2026년 2월 4일(Arxiv), ICLR 2026 Ganguly, Debargha, Sankar, Sreehari, Zhang, Biyao, Singh, Vikash, Gupta, Kanan, Kavuru, Harshini, Luo, Alan, Chen, Weicong, Morningstar, Warren, Machiraju, Raghu, et al. Case Western Reserve University, University of Pittsburgh, The Ohio State University, Google Research...
EN
04 Feb 2026
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Paper Review
Autoregressive Language Models
Mixture-of-Experts
Elastic Training
Reinforcement Learning
This article explains the key points of ERNIE 5.0 Technical Report. 2026-02-04 (arXiv) Wang, Haifeng, Wu, Hua, Wu, Tian, Sun, Yu, Liu, Jing, Yu, Dianhai, Ma, Yanjun, He, Jingzhou, He, Zhongjun, Hong, Dou, et al. Baidu Paper Read this article in Korean Summary ERNIE 5.0 Technical Report describes a trillion-parameter...
KO
04 Feb 2026
|
Paper Review
Autoregressive Language Models
Mixture-of-Experts
Elastic Training
Reinforcement Learning
이번 글에서는 ERNIE 5.0 Technical Report 논문의 핵심 포인트만 간단히 정리한다. 2026년 2월 4일(Arxiv) Wang, Haifeng, Wu, Hua, Wu, Tian, Sun, Yu, Liu, Jing, Yu, Dianhai, Ma, Yanjun, He, Jingzhou, He, Zhongjun, Hong, Dou, et al. Baidu 논문 링크 영문판 보기 요약 ERNIE 5.0 Technical Report는 텍스트, 이미지, 비디오, 오디오의...
EN
03 Feb 2026
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Paper Review
Reward Design
Reinforcement Learning
Reasoning
This article explains the key points of Likelihood-Based Reward Designs for General LLM Reasoning. 2026-02-03 (arXiv) Kwiatkowski, Ariel, Butt, Natasha, Labiad, Ismail, Kempe, Julia, Ollivier, Yann. Meta FAIR, University of Amsterdam, New York University Paper Read this article in Korean Summary Likelihood-Based Reward Designs for General LLM Reasoning studies whether...