7 citations · 12 across the 6 of their papers we have counts for
3 papers · 1 filter
Scalable, Validated Code Translation of Entire Projects using Large Language Models
Hanliang Zhang, Cristina David, Meng Wang +2
Large language models (LLMs) show promise in code translation due to their ability to generate idiomatic code. However, a significant limitation when using LLMs for code translatio…
Quantifying the benefits of code hints for refactoring deprecated Java APIs
Cristina David, Pascal Kesseli, Daniel Kroening +1
When done manually, refactoring legacy code in order to eliminate uses of deprecated APIs is an error-prone and time-consuming process. In this paper, we investigate to which degre…
Towards Translating Real-World Code with LLMs: A Study of Translating to Rust
Hasan Ferit Eniser, Hanliang Zhang, Cristina David +5
Large language models (LLMs) show promise in code translation - the task of translating code written in one programming language to another language - due to their ability to write…