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Published Date

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,…

Publication

Automated Proof Generation for Rust Code via Self-Evolution

Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu Lahiri, Tao Xie, Lidong Zhou

ICLR 2025 | October 2024

Project

Microsoft Research Blog

Research Focus: Week of October 7, 2024

October 9, 2024

Simplifying secure decision tree training; Improving accuracy of audio content detection; A novel neurosymbolic system for converting text to tables; New video series: AI for Business Transformation; TEE security protections for container workloads.

Dataset Source Code

PromptPex

PromptPex is a tool for exploring and testing AI model prompts. PromptPex is intended to be used by developers who have prompts as part of their code base. PromptPex treats a prompt as a function…

GitHub

Publication