5 papers
On the Lexical Superstition of Large Language Models for Code Comprehension: Re-evaluation on Code of Low Lexical Quality
Xin Shen, San-Zhuo Xi, Yali Du +1
Recent advances in large language models (LLMs) have made them widely used for code-related tasks. Identifier names are statistically informative in naturally occurring code, but t…
CIT-CAD: Constraint Intent Tree-based CAD Code Generation and Verification
Yali Du, Hui Sun, San-Zhuo Xi +1
Natural-language Computer-Aided Design (CAD) code generation aims to turn design intent into executable and editable parametric programs. Large language models (LLMs) make this goa…
ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation
Hui Sun, Yun-Ji Zhang, Zheng Xie +4
Selecting LLM-generated code candidates using LLM-generated tests is challenging because the tests themselves may be incorrect. Existing methods either treat all tests equally or r…
Post-Incorporating Code Structural Knowledge into Pretrained Models via ICL for Code Translation
Yali Du, Hui Sun, Ming Li
Code translation migrates codebases across programming languages. Recently, large language models (LLMs) have achieved significant advancements in software mining. However, handlin…
A Joint Learning Model with Variational Interaction for Multilingual Program Translation
Yali Du, Hui Sun, Ming Li
Programs implemented in various programming languages form the foundation of software applications. To alleviate the burden of program migration and facilitate the development of s…