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Efficiency is the robust finding: open-weight models occupy the quality-efficiency Pareto frontier in every configuration tested, and no frontier model is Pareto-optimal; no frontier model is Pareto-optimal.
This work benchmarks eight LLMs generating Gherkin from three requirement corpora, scoring validity, runner acceptance, judged coverage and quality, similarity to gold standard, stability, and cost, and releases the corpora, gold standard, and prototype.
Large language models (LLMs) increasingly repair software vulnerabilities, but most evaluations judge only similarity to a developer fix or removal of the weakness, leaving no single judge trustworthy.
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