This research was presented as a demonstration at the 40th IEEE International Conference on Data Engineering (opens in new tab) (ICDE 2024), one of the premier conferences on data and information engineering. Since the inception of cloud computing, autoscaling has been an essential technique for optimizing resources and performance. By...

In the quest for groundbreaking materials crucial to nanoelectronics, energy storage, and healthcare, a critical challenge looms: predicting a material’s properties before it is even created. This is no small feat, with any combination of 118 elements in the periodic table, and the range of temperatures and pressures under which materials are...

This research paper was presented at the 12th International Conference on Learning Representations (opens in new tab) (ICLR 2024), the premier conference dedicated to the advancement of deep learning. Large language models (LLMs) rely on complex internal mechanisms that require more memory than what is typically available to operate on...

This research paper was presented at the 12th International Conference on Learning Representations (opens in new tab) (ICLR 2024), the premier conference dedicated to the advancement of deep learning. Publication LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models  Large...

Members of the research community at Microsoft work continuously to advance their respective fields. Abstracts brings its audience to the cutting edge with them through short, compelling conversations about new and noteworthy achievements. In this episode, Senior Principal Researcher Michel Galley joins host Gretchen Huizinga...

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. NEW RESEARCH Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions? Informal natural language...