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Programming languages & software engineering

Building programming languages, tools, and software engineering techniques that make software more reliable, secure, and productive.

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公開日

Towards Functional Correctness of Large Code Models with Selective Generation

J. Jeong, Taesoo Kim, Sangdon Park

ICML 2026 | June 2026

公開日

Dynamically Checked Deep Immutability in Python

Fridtjof Stoldt, Sylvan Clebsch, Matthew Johnson, Matthew J. Parkinson, Tobias Wrigstad

Proceedings of the ACM on Programming Languages | June 2026, 巻10(PLDI): pp. 2623-2646

プロジェクト

公開日

Pull Requests as a Training Signal for Repo-Level Code Editing

Qinglin Zhu, Tianyu Chen, Shuai Lu, Lei Ji, Runcong Zhao, Murong Ma, Xiangxiang Dai, Yulan He, Lin Gui, Peng Cheng, Yeyun Gong

ICML 2026 | May 2026

公開日

From Patches to Trajectories: Privileged Process Supervision for Software-Engineering Agents

Murong Ma, Tianyu Chen, Yun Lin, Shuai Lu, Qinglin Zhu, Yeyun Gong, Zhiyong Huang, Peng Cheng, Yan Lu, Jin Song Dong

May 2026

arXiv | May 2026

公開日

SynAE: A Framework for Measuring the Quality of Synthetic Data for Tool-Calling Agent Evaluations

Shuaiqi Wang, Aadyaa Maddi, Zinan Lin, Giulia Fanti

May 2026

arXiv | May 2026

キャリアの機会

Applied Researcher 2/Senior Applied Researcher – Code|AI team

Posted: May 20, 2026

場所: Mountain View, CA, US; New York, NY, US; Redmond, WA, US

研究分野: Artificial intelligence, Programming languages and software engineering

The Code|AI team is the Applied Research and Data for Github Copilot and VS Code, working on the future of AI for Developers! We are seeking entrepreneurial and creative Applied Researchers 2/ Senior Applied Researchers…

キャリアの機会

Principal Applied Researcher – AI for Developers

Posted: May 20, 2026

場所: Mountain View, CA, US; New York, NY, US; Redmond, WA, US

研究分野: Artificial intelligence, Programming languages and software engineering

The Data and AI team in Microsoft’s Developer Division is working on the future of AI for Developers! We are seeking entrepreneurial and creative Principal Applied Researcher to lead groundbreaking research projects, taking these from…

公開日

Llamas on the Web: Memory-Efficient, Performance-Portable, and Multi-Precision LLM Inference with WebGPU

Reese Levine, Rithik Sharma, Nitisha Jain, Abhijit Ramesh, Zheyuan Chen, N. Abbas, James Contini, Tyler Sorensen

May 2026

arXiv | May 2026

公開日

UFO2: The Desktop AgentOS

Chaoyun Zhang, He Huang, Chiming Ni, Jian Mu, Si Qin, Shilin He, Lu Wang, Fangkai Yang, Pu Zhao, Chao Du, Liqun Li, Yu Kang, Zhao Jiang, Suzhen Zheng, Rujia Wang, Jiaxu Qian, Ming-Jie Ma, Jianjun Lou, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

Transactions on Machine Learning Research | May 2026

プロジェクトプロジェクト

公開日

Nebula: Proving Machine Executions via Folding Schemes

Arasu Arun, Srinath Setty

May 2026

IEEE | May 2026