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COLM 2025 - Microsoft Research Microsoft is proud to be a sponsor of the Conference on Language Models (COLM), an academic venue dedicated to advancing the study of language modeling COLM brings together researchers from diverse disciplines to understand, improve, and critically examine the development of general-purpose language models COLM provides a unique forum for exploring the research questions that arise from the
Microsoft Launches New LLM Models to Rival OpenAI, Anthropic Microsoft has been making significant strides in the field of artificial intelligence, particularly in developing large language models (LLMs) With an investment of over $13 billion in the ChatGPT developer and serving as its exclusive cloud provider, Microsoft is now set to launch its own LLM series to rival OpenAI and Anthropic models
[2506. 22405] Sequential Diagnosis with Language Models Artificial intelligence holds great promise for expanding access to expert medical knowledge and reasoning However, most evaluations of language models rely on static vignettes and multiple-choice questions that fail to reflect the complexity and nuance of evidence-based medicine in real-world settings In clinical practice, physicians iteratively formulate and revise diagnostic hypotheses
What are small language models and how do they differ from large ones? The key difference between small and large models lies in their scope, capability and resource requirements Small language models are like specialized tools in a toolbox, each designed to do specific jobs extremely well They typically contain millions to tens of millions of parameters (these are the model's learned knowledge points)
Microsoft is doubling down on multilingual large language models – and . . . Microsoft research has found that 46% of web content used to train large language models (LLMs) is English “When you crawl the whole open web, what you see is predominantly the number one language on the web is English,” explained Juan Lavista, adding that German, Spanish, and French come second but still make up less than 6% of the total
Microsoft at ICML 2025 - LinkedIn CollabLLM is a novel and general training framework that enables large language models (LLMs) to provide more effective, forward-looking responses to people in multiturn scenarios, ultimately
CollabLLM: Microsoft Boosts LLM AI Collaboration Microsoft Research introduces CollabLLM, a novel training framework This initiative significantly enhances LLM AI collaboration capabilities CollabLLM addresses critical shortcomings in current large language model interactions Existing LLMs often struggle with multi-turn conversations They make assumptions and overlook nuance due to single-turn training methods This approach optimizes
Microsoft Makes In-Kind Offer to Boost European Language AI Data The language data program, described in a July 20, 2025 blog article, aims primarily to expand the supply of multilingual data for AI model training To accomplish this, Microsoft plans on having dedicated staff at its Strasbourg, France, innovation centers: the Microsoft Open Innovation Center (MOIC) and the AI for Good Lab
Microsoft’s Breakthroughs in AI Reasoning: Small Models, Formal Methods . . . This article explores Microsoft’s latest research, critically examining the methods and potential implications behind a new generation of reasoning-driven language models, with perspectives on both their promise and the remaining hurdles
Fara-7B: An Efficient Agentic Model for Computer Use - Microsoft Research Fara-7B is our first agentic small language model for computer use This experimental model includes robust safety measures to aid responsible deployment Despite its size, Fara-7B holds its own against larger, more resource-intensive agentic systems: