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Published Date

Project

GenAIScript: Scripting for Generative AI

GenAIScript is scripting language where AI and foundation models are first-class entities, enabling a wide range of users to enhance their workflows with AI capabilities.

Microsoft Research Blog

Research Focus: Week of May 13, 2024

May 15, 2024 | Leonardo Nunes, Sara Malvar, Bruno Silva, Ranveer Chandra, Serena Hillman, Thomas Ball, Peli de Halleux, James Devine, Michal Moskal, Vivek Seshadri, Manohar Swaminathan, Sunayana Sitaram, Hanna Wallach, Jenn Wortman Vaughan, Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Yeyun Gong, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Mao Yang, Bonnie Kruft

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…

Publication

VASIM: Vertical Autoscaling Simulator Toolkit

Anna Pavlenko, Karla Saur, Yiwen Zhu, Brian Kroth, Joyce Cahoon, Jesús Camacho-Rodríguez

IEEE International Conference on Data Engineering (ICDE 2024) | May 2024

Microsoft Research Blog

Enhanced autoscaling with VASIM: Vertical Autoscaling Simulator Toolkit

May 13, 2024 | Anna Pavlenko, Karla Saur, Yiwen Zhu, Brian Kroth, Joyce Cahoon, Jesús Camacho Rodríguez

Autoscaling can optimize cloud resource usage and costs by adjusting to demand. VASIM shows that simplifying testing and refinement of autoscaling algorithms can enable rapid development and evaluation of more efficient & cost-effective autoscaling strategies.

Microsoft Research Blog

Research Focus: Week of April 29, 2024

May 2, 2024 | Sarah Fakhoury, Saikat Chakraborty, Shuvendu Lahiri, Anirudh Khatry, Sumit Gulwani, Vu Le, Chris Parnin, Mukul Singh, Gust Verbruggen, Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Martin Grayson, Cecily Morrison, Giovanni Cherubin, Andrew Paverd, Boris Köpf, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin

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.

Publication

NL2Fix: Generating Functionally Correct Code Edits from Bug Descriptions

Sarah Fakhoury, Saikat Chakraborty, Madan Musuvathi, Shuvendu Lahiri

2024 International Conference on Software Engineering | May 2024

Poster track

Project

Publication

Keeper: Automated Testing and Fixing of Machine Learning Software

Chengcheng Wan, Shicheng Liu, Sophie Xie, Yuhan Liu, Henry Hoffmann, Michael Maire, Shan Lu

ACM Transactions on Software Engineering and Methodology | May 2024

Publication

A Principled Approach Towards Unapologetic Security

Jay Bosamiya

May 2024

PhD Thesis: Carnegie Mellon University | May 2024

Publication

Tail Recursion Modulo Context: An Equational Approach (extended version)

Daan Leijen, Anton Lorenzen

under submission to JFP. | May 2024

This is an extended version of the POPL'23 publication under submission to a special issue of the Journal of Functional Programming (JFP). Extended topics include an improved TRMC algorithm, composing contexts, _field_ contexts, and first-class constructor contexts.

Project

Microsoft Research Blog

Microsoft at ASPLOS 2024: Advancing hardware and software for high-scale, secure, and efficient modern applications

April 29, 2024 | Rodrigo Fonseca, Madan Musuvathi

From AI and deep learning to innovations in infrastructure, researchers from Microsoft are bridging the gap between architecture, programming languages, and operating systems to advance the state of the art at ASPLOS 2024.

Programming languages and software engineering

Highlights