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Published Date

Publication

Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System

Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维

TKDE’24 | November 2024

Podcast

Abstracts: November 5, 2024

November 5, 2024

Researchers Chris Hawblitzel and Jay Lorch share how progress in programming languages and verification approaches are bringing bug-free software within reach. Their work on the Rust verification tool Verus won the Distinguished Artifact Award at…

Outlined illustrations of Chris Hawblitzel and Jay Lorch for the Microsoft Research Podcast, Abstracts series.

Publication

Verus: A Practical Foundation for Systems Verification

Andrea Lattuada, Travis Hance, Jay Bosamiya, Matthias Brun, Chanhee Cho, Hayley LeBlanc, Pranav Srinivasan, Reto Achermann, Tej Chajed, Chris Hawblitzel, Jon Howell, Jay Lorch, Oded Padon, Bryan Parno

2024 Symposium on Operating Systems Principles | November 2024

Distinguished Artifact Award

Project

Publication

Unearthing Semantic Checks for Cloud Infrastructure-as-Code Programs

Yiming Qiu, Patrick Kon, Ryan Beckett, Ang Chen

Symposium on Operating Systems Principles | November 2024

Publication

Continuous Analysis: Evolution of Software Engineering and Reproducibility for Science

Venkat S. Malladi, Maria Yazykova, Olesya Melnichenko, Yulia Dubinina

November 2024

Microsoft Research Blog

Research Focus: Week of October 28, 2024

November 1, 2024 | Xuchao Zhang, Chetan Bansal, Rujia Wang, Minghua Ma, Saravan Rajmohan, Priyanshu Gupta, Ananya Singha, Sumit Gulwani, Arjun Radhakrishna, Gustavo Soares, Guanhua Wang, Olatunji Ruwase, Jack Williams, Ian Drosos, Advait Sarkar, Yadong Lu, Jianwei Yang, Ahmed Awadallah

New Research | FLASH: Workflow automation agent for diagnosing recurring incidents; METAREFLECTION: Learning instructions for language agents using past reflections; Boosting LLM training efficiency through faster communication between GPUs; and more.

Publication

CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing

Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang

The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024

Publication

PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning

Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang

The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP ’24) | November 2024

Publication

Large Language Models Can Provide Accurate and Interpretable Incident Triage

Zexin Wang, Jianhui Li, Minghua Ma, Ze Li, Yu Kang, Chaoyun Zhang, Chetan Bansal, Murali Chintalapati, S. Rajmohan, Qingwei Lin, Dongmei Zhang, Changhua Pei, Gaogang Xie

2024 IEEE 35th International Symposium on Software Reliability Engineering (ISSRE) | October 2024, pp. 523-534

Project

Practical System Verification

Formal verification is a promising approach to eliminate bugs at compile time, before software ships. Unfortunately, verifying the correctness of system software traditionally requires heroic developer effort. In this project, we aim to enable accessible, faster,…

Programming languages and software engineering

Highlights