이번 글에서는 Rethinking the Evaluation of Harness Evolution for Agents 논문의 핵심 포인트만 간단히 정리한다. 2026년 7월 14일(Arxiv) Wang, Yike, Zhu, Huaisheng, Hu, Zhengyu, Yuan, Yige, Chen, Zhengyu, Senthil, Shakti, Hajishirzi, Hannaneh, Tsvetkov, Yulia, Dasigi, Pradeep, Xiao, Teng. Allen Institute for AI, University of Washington, Independent 논문 링크 Github Project...

This article explains the key points of Metacognition in LLMs: Foundations, Progress, and Opportunities. 2026-07-13 (arXiv) Liu, Gabrielle Kaili-May, Gani, Areeb, Lu, Jacqueline, Thomas, Jordan, Steyvers, Mark, Cohan, Arman. Yale University, University of California, Irvine Paper Read this article in Korean Summary This survey examines when and how LLMs monitor...

이번 글에서는 Metacognition in LLMs: Foundations, Progress, and Opportunities 논문의 핵심 포인트만 간단히 정리한다. 2026년 7월 13일(Arxiv) Liu, Gabrielle Kaili-May, Gani, Areeb, Lu, Jacqueline, Thomas, Jordan, Steyvers, Mark, Cohan, Arman. Yale University, University of California, Irvine 논문 링크 영문판 보기 요약 이 서베이는 LLM이 자신의 처리 과정을 언제, 어떻게 점검하고...

This article explains the key points of Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding. 2026-07-07 (arXiv) Fu, Yonggan, Whalen, Lexington, Garg, Abhinav, Wu, Chengyue, Khadkevich, Maksim, Oswald, Nicolai, Xie, Enze, Egert, Daniel, Sreenivas, Sharath Turuvekere, Diao, Shizhe, et al. NVIDIA, Georgia Tech, HKU, University of Chicago,...

이번 글에서는 Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding 논문의 핵심 포인트만 간단히 정리한다. 2026년 7월 7일(Arxiv) Fu, Yonggan, Whalen, Lexington, Garg, Abhinav, Wu, Chengyue, Khadkevich, Maksim, Oswald, Nicolai, Xie, Enze, Egert, Daniel, Sreenivas, Sharath Turuvekere, Diao, Shizhe, et al. NVIDIA, Georgia Tech, HKU, University of...