Aug. 10, 2023, 4:43 a.m. | Chunqiu Steven Xia, Matteo Paltenghi, Jia Le Tian, Michael Pradel, Lingming Zhang

cs.LG updates on arXiv.org arxiv.org

Fuzzing has achieved tremendous success in discovering bugs and
vulnerabilities in various software systems. Systems under test (SUTs) that
take in programming or formal language as inputs, e.g., compilers, runtime
engines, constraint solvers, and software libraries with accessible APIs, are
especially important as they are fundamental building blocks of software
development. However, existing fuzzers for such systems often target a specific
language, and thus cannot be easily applied to other languages or even other
versions of the same language. Moreover, …

apis arxiv bugs building compilers development fuzzing language language models large language large language models libraries programming software software development software libraries success systems test vulnerabilities

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US