标签: LLMs - 66必读

arXiv:2606.27757v1 Announce Type: new Abstract: Large language models (LLMs) have attracted widespread attention from ac

and LLMs the

2026-06-29 Jiajing Zhang, Jiamei Jiang, Chenyang Zhang, Feifei Mo, Linjing Li, Daniel Zeng

GitHub项目：cambrian 仓库地址：https://github。com/cambrian-mllm/cambrian Stars：2005 | 作者：cambrian-mllm 项目描述：Cambrian-1 is a fami

cambrian Cambrian the

2026-06-26 GitHub Trending

11245v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities across vario

for memory explicit

2026-06-11 Sangjun Park

arXiv:2605.23932v1 Announce Type: new Abstract: Despite strong medical benchmark accuracy, LLMs can exhibit severe multi

textbf LLMs pressure

2026-05-26 Boyu Xiao, Xiuqi Tian, Xuwen Song, Haochun Wang, Guanchun Song, Sendong Zhao, Bing Qin

23909v1 Announce Type: new Abstract: We investigate the calibration of large language models' (LLMs') confidence across

the calibration LLMs

2026-05-26 Noam Michael, Daniel BenShushan, Jacob Bien, Don A. Moore

GitHub项目：dive-into-llms 仓库地址：https://github。

dive into https

2026-05-19 GitHub Trending

13936v1 Announce Type: new Abstract: The recent success of large language models (LLMs) has been largely driven by vast

and data across

2026-05-15 Daniel M. Jimenez-Gutierrez, Enrique Zuazua, Georgios Kellaris, Joaquin del Rio, Oleksii Sliusarenko, Xabi Uribe-Etxebarria

#LLMs