October 31, 2023

编者按：欢迎阅读“科研上新”栏目！“科研上新”汇聚了微软亚洲研究院最新的创新成果与科研动态。在这里，你可以快速浏览研究院的亮点资讯，保持对前沿领域的敏锐嗅觉，同时也能找到先进实用的开源工具。 本期内容速览 01. LLM for Science：使用大语言模型辅助和加速科学研究 02. 大模型道德价值观对齐问题的剖析与展望 03. PIT：通过排列不变性优化动态稀疏深度学习模型 04. SPFRE...

October 30, 2023 | Akshay Nambi and Tanuja Ganu

Teachers are the backbone of any educational system. They are not just educators; they are indispensable navigators, mentors, and leaders. Teachers around the world face many challenges, which vary from country to country or even within a city or town.…

October 27, 2023 | Chenglong Wang, Bongshin Lee, John Thompson, Steven Drucker, and Jianfeng Gao

Visualization is vital for understanding complex data, but existing tools require “tidy data,” adding extra steps. Learn how Data Formulator transforms concepts into visuals, promoting collaboration between analysts and AI agents.

October 26, 2023 | Richard Black, Burcu Canakci, Andromachi Chatzieleftheriou, Sergey Legtchenko, Ant Rowstron, and Ioan Stefanovici

This research paper was presented at the 29th ACM Symposium on Operating Systems Principles (opens in new tab) (SOSP 2023), the premier forum for the theory and practice of computer systems software. For millennia, data has woven itself into every…

October 26, 2023

作者：谢幸 在过去的一年里，人工智能（AI）一次又一次地呈现出“超预期”的发展。在惊喜和振奋之余，我们也需要重新审视一个重要的问题——技术本身是否价值观中立？毕竟大型语言模型（LLMs）的智能是基于人类产生的语料，而人类语料中所潜藏的立场和价值观，会不可避免地成为影响机器做出推理与判断的因素之一。 在现实中，一些已经公开的人工智能大模型曾表现出一些有悖于主流价值观，或者令人感到不满意的行为，比如对...

October 25, 2023

In this issue: Kosmos-2.5: A Multimodal Literate Model; Can vine copulas explain complex relationships of weather variables; New system accelerates the adaptive training process; Structural inequalities and relational labor in the influencer industry.