Microsoft Research Lab – Redmond
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Microsoft Research Forum Episode 3: Globally inclusive and equitable AI, new use cases for AI, and more
“We’re at the very early stage of generative AI and the impacts it will have on work. This is a fast-moving field, and there’s an immense opportunity to take control of the agenda and build truly globally equitable AI systems”,…
Research Focus: Week of May 27, 2024
How can generative AI tools represent less common identities and narratives; Can LLMs help players participate in game narratives; Using LLMs to improve geospatial demographic data; A Graph RAG Approach to Query-Focused Summarization; and more.
In the news | TIME
Inside Audrey Tang’s Plan to Align Technology and Democracy
E. Glen Weyl and Audrey Tang’s new book provides a vision of how advanced collaborative technology can bolster democracy.
Research Focus: Week of May 13, 2024
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 remarkable performance in generating text similar to…
Microsoft at CHI 2024: Innovations in human-centered design
From immersive virtual experiences to interactive design tools, Microsoft Research is at the frontier of exploring how people engage with technology. Discover our latest breakthroughs in human-computer interaction research at CHI 2024.
Abstracts: May 6, 2024
| Michel Galley and Gretchen Huizinga
Researcher Michel Galley explores how he and fellow researchers combined new and existing data to create MathVista, an open-source benchmark for measuring the mathematical reasoning capabilities of foundation models in scenarios that involve text and images.
Research Focus: Week of April 29, 2024
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.
SAMMO: A general-purpose framework for prompt optimization
| Tobias Schnabel and Jennifer Neville
SAMMO optimizes prompts for LLMs by leveraging their structure to guide optimization. This minimizes the time and effort needed to find performant prompts on a variety of tasks.
Research Focus: Week of April 15, 2024
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: