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Microsoft Research Lab – Asia

ニュース&特集

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ニュース | Microsoft Source Asia

Microsoft Research Asia launches Singapore lab to drive AI innovation, industrial transformation, and talent development 

Xinxing Xu headshot
Microsoft Research ブログ

Xinxing Xu is helping shape the work of …

EpiCoder
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As large language models (LLMs) continue…

graphical user interface
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One of the driving forces behind AI’s ra…

The image shows a diagram illustrating the relationship between mathematical statements in natural language and formal language. On the left, there is a blue box labeled
Microsoft Research ブログ

| Li Lyna Zhang, Xian Zhang, Xueting Han, と Dongdong Zhang

New techniques are reimagining how LLMs …

diagram
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World models are a key concept in AI, us…

diagram
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Time-series data—measurements collected …

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Math is more than a school subject—it’s …

The image shows a radar chart comparing the performance of different AI models across various metrics. The chart has a circular grid with labeled axes including VO, AS, CEc, CEe, CL, MCr, MCt, MCu, MS, QLI, QLqA, SNs, KNa, KNc, KNF, KNn, and AT. Different AI models are represented by various line styles: Babbage-002 (dotted line), Davinci-002 (dash-dotted line), GPT-3.5-Turbo (dashed line), GPT-4.0 (solid thin line), OpenAI ol-mini (solid thick line), and OpenAI o1 (solid bold line). There is a legend in the bottom left corner explaining the line styles for each model. The background transitions from blue on the left to green on the right.
Microsoft Research ブログ

| Lexin Zhou と Xing Xie

ADeLe, a new evaluation method, explains…