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Phi-4 Technical Report
Language Models report from Microsoft with 15 connected researchers in the LLMpeople atlas.
Connected researchers
Arian Hosseini
Microsoft
Arian Hosseini is listed as an author of the Microsoft technical report Phi-4 Technical Report.
Carolyn Jane Anderson
Microsoft
Carolyn Jane Anderson is an assistant professor of computer science at Wellesley College whose public research focuses on code, mathematical reasoning, and the intersection of programming languages, NLP, theory, and HCI.
Dmytro Dzhulgakov
Microsoft
Co-founder at Fireworks AI and former PyTorch core maintainer at Meta, focused on large-scale AI systems and infrastructure.
Emmanouil Antonios Platanios
Microsoft
Emmanouil Antonios Platanios is a machine learning researcher whose public work spans efficient, robust, and trustworthy AI systems. His public profile includes roles as a cofounder of General Intelligence, a Principal Research Staff Member at Microsoft Research, and a faculty member at Carnegie Mellon University.
Hamid Palangi
Microsoft
Hamid Palangi is a Principal Research Manager at Microsoft AI whose public homepage highlights work on large language models, multimodal AI, and conversational systems.
Jiuxiang Gu
Microsoft
Senior Research Scientist at Adobe Research in Seattle working on multimodal foundation models, document intelligence, and vision-language systems.
Mahyar Babaei
NVIDIA / Microsoft
Mahyar Babaei is listed as an author of the Microsoft technical report Phi-4 Technical Report.
Mehrdad Farajtabar
Microsoft
Principal Researcher at Microsoft Research and co-founder of the Probabilistic Learning group, working on large language models, agentic AI, multimodal learning, time-series analysis, and graphs.
Morteza Peyravi
Microsoft
Senior machine learning engineer at Microsoft whose public homepage highlights selected projects, publications, and open-source work.
Saurabh Kumar
Microsoft
Saurabh Kumar is listed as an author of the Microsoft technical report Phi-4-mini-reasoning: Exploring the Limits of Small Reasoning Language Models in Math.
Sebastien Bubeck
Microsoft
VP of Generative AI Research at Microsoft Research working on the foundations and capabilities of large language models and generative AI. Previously worked at Google and earned a PhD in computer science from Princeton University.
Shriram Rajendran
Microsoft
Shriram Rajendran is a lead applied scientist at Microsoft working on agents, reasoning models, and model distillation. He earned his PhD at the University of Texas at Austin, where his research covered core machine learning, generative AI, and optimization.
Sukhpal Singh
Microsoft
Sukhpal Singh is listed as an author of the Microsoft technical report Phi-4 Technical Report.
Yikang Shen
Microsoft
PhD student at MIT and researcher at Microsoft working on large language models.
Max Lamparth
Microsoft
Researcher at Microsoft.