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Found 2 papers, 1 papers with code
Exploring and Unleashing the Power of Large Language Models in Automated Code Translation
This paper investigates diverse LLMs and learning-based transpilers for automated code translation tasks, finding that: although certain LLMs have outperformed current transpilers, they still have some accuracy issues, where most of the failures are induced by a lack of comprehension of source programs, missing clear instructions on I/O types in translation, and ignoring discrepancies between source and target programs.
A Rational Model of Dimension-reduced Human Categorization
Humans tend to categorize objects based on a few key features.
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