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cs.DL2026
Open Science, Closed Models: How Funding Shapes AI in Science
Ana Trišović, Janakan Sivaloganathan
How funding shapes AI engagement in science is poorly understood despite its structural importance. We analyze 104,226 papers (2018-2025), linking funding acknowledgments to how ea…
cs.SE2026
Automating Detection and Root-Cause Analysis of Flaky Tests in Quantum Software
Janakan Sivaloganathan, Ainaz Jamshidi, Andriy Miranskyy +1
Like classical software, quantum software systems rely on automated testing. However, their inherently probabilistic outputs make them susceptible to quantum flakiness -- tests tha…