Microsoft Research Cambridge
新闻与深度文章
In this edition: Can LLMs transform natural language into formal method postconditions; Semantically aligned question + code generation for automated insight generation; Explaining CLIP performance disparities on blind/low vision data; plus recent news.
新闻报道 | The Times UK
The tiny glass blocks that can preserve your data for centuries
For years governments, hospitals and families have had to use frail magnetic storage for their most important data. Now, scientists have an alternative — that lasts for ever…
In this issue: New research on appropriate reliance on generative AI; Power management opportunities for LLMs in the cloud; LLMLingua-2 improves task-agnostic prompt compression; Enhancing COMET to embrace under-resourced African languages:
In this issue: New research helps COMET embrace African languages; FeatUp improves deep features, a computer vision research cornerstone; LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error; Benchmarking LLMs across languages and more.
新闻报道 | Handelsblatt
Das Yottabyte-Zeitalter – wie Glas unsere Daten rettet
Digitalisierung und Künstliche Intelligenz sorgen für Datenmengen, die die Vorstellungskraft sprengen. Ausgerechnet einer der ältesten Werkstoffe der Menschheit soll helfen.
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Large language models (LLMs) have shown impressive capabilities, yet they still struggle with…
Research advances are driving real-world impact faster than ever. Episode 2 of Microsoft Research Forum explores how AI is transforming health care and the natural sciences, the intersection of AI and society, and the evolution of foundational AI technologies.
Abstracts: February 29, 2024
| Lev Tankelevitch 和 Gretchen Huizinga
Can how we think about our thinking help us better incorporate generative AI in our lives & work? Explore metacognition’s potential to improve the tech’s usability on “Abstracts,” then sign up for Microsoft Research Forum for more on this &…
| Zinan Lin, Jinyu Li, Bhaskar Mitra, Siân Lindley, Liang Wang, Nan Yang, 和 Furu Wei
Mixture-of-linear-experts for long-term time series forecasting; Weakly-supervised streaming multilingual speech model with truly zero-shot capability; KBFormer: Diffusion model for structured entity completion; Identifying risks of AI-mediated data access: