Self-adaptive reasoning for science
| Newman Cheng, Gordon Broadbent, Steven Truitt, and William Chappell
Microsoft is pioneering a vision for a self-adapting AI system that can adapt to the dynamic nature of scientific discovery, promoting deeper, more refined reasoning in complex scientific domains.
ACL上新 | 公平与责任：语言模型的另一种进化
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。 作为自然语言处理领域全球顶级的学术盛会之一，ACL 2025 于近日在维也纳召开。来自微软亚洲研究院的多篇论文入选，我们通过两期“科研上新”为大家分享研究院入选 ACL 2025 的精选论文解读。第一期聚焦了使大语言模型和语音模型在预训练、...
Project Ire autonomously identifies malware at scale
| Brian Caswell, Dustin Fraze, Sarah Smith, Rodrigo Racanicci, Tim Middleton-Sally, Shelby Hayes, Stanley He, Katy Smith, Bhakta Pradhan, and Mike Walker
Designed to classify software without context, Project Ire replicates the gold standard in malware analysis through reverse engineering. It streamlines a complex, expert-driven process, making large-scale malware detection faster & more consistent.
VeriTrail: Detecting hallucination and tracing provenance in multi-step AI workflows
| Dasha Metropolitansky
VeriTrail, new from Microsoft Research, can detect AI-generated content that is not supported by the source text, trace the provenance of content from final output back to the source, and locate where errors were likely introduced.
Time-series data—measurements collected at regular intervals, like stock prices or traffic flows—has become a key driver of intelligent decision-making systems across industries. From medical monitoring to financial risk control, identifying patterns in this data is essential to many important operations.…
ACL上新 | 打造轻量、高效的AI引擎
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。 作为自然语言处理领域全球顶级的学术盛会之一 ，ACL 2025 于近日在维也纳召开。来自微软亚洲研究院的多篇论文入选，我们将通过两期“科研上新”为大家带来研究院入选 ACL 2025 的精选论文解读。本期“科研上新”一次性奉上五项最新成果，...
编者按：近年来，大模型在多模态交互中的应用不断深入，使得人机交互中的“理解能力”面临新的挑战。特别是在 Compute Use Agent 的发展背景下，如何准确理解用户的自然语言指令并将其映射到复杂 GUI 界面中的相应元素（即 “GUI Grounding” 任务）成为关键。然而，现有的公开数据集难以全面覆盖真实使用场景中的各种难点。对此，微软亚洲研究院提出了 UI-E2I-Synth，不仅构...
Kevin K. Yang, Sarah Alamdari, Alex J. Lee, Kaeli Kaymak-Loveless, Samir Char, Garyk Brixi, Carles Domingo-Enrich, Chentong Wang, Suyue Lyu, Nicolo Fusi, Philip Rosenfield, Neil Tenenholtz, Ava P. Amini “The body of data available in protein sequences is something fundamentally…
Navigating medical education in the era of generative AI
| Peter Lee, Dr. Morgan Cheatham, and Daniel Chen
Next-generation physicians Morgan Cheatham and Daniel Chen discuss how generative AI is transforming medical education, exploring how students and attending physicians integrate new tools while navigating questions on trust, training, and responsibility.