SwiftEval, a 28-problem hand-crafted Swift benchmark, evaluates 44 code LLMs and shows large performance drops on Swift tasks, especially for smaller models.
Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code,
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SwiftEval: Developing a Language-Specific Benchmark for LLM-generated Code Evaluation
SwiftEval, a 28-problem hand-crafted Swift benchmark, evaluates 44 code LLMs and shows large performance drops on Swift tasks, especially for smaller models.