Chain-of-Thought (CoT) prompting can substantially improve the reasoning ability of large language models (LLMs), but it often comes with high inference cost due to long and poorly controlled reasoning traces. This overhead is particularly problematic in software engineering tasks (e.g., code generation), where both la...
Ke-Rui Huang, Shu-Han Liu, Xing Hu et al.· 0 citations
Text-to-SQL models translate natural language questions into SQL, enabling non-technical users to access databases. However, most existing research focuses on correctness, neglecting query efficiency. In this paper, we address the challenge of evaluating the execution efficiency of generated SQL in Text-to-SQL by intro...
Li Lin, Yun-Feng Shen, Ling-Feng Bao et al.· 0 citations
Prototype pollution is a critical class of taint-style vulnerabilities in JavaScript programs, enabling attackers to tamper with object prototypes and thereby alter program behavior in unexpected and often dangerous ways. Despite its severity, existing detection techniques struggle with excessive false positives and po...
De-Zhen Kong, Pei-Sen Yao, Jia-Kun Liu et al.· ACM Transactions on Software...· 0 citations
An automated framework that builds a versioned TPL API Knowledge Base and a large-scale benchmark that proposes two lightweight solutions, Real-time Detection and Lightweight Repair, to mitigate ITAUs and provide a foundation for more compatibility-aware code generation in evolving software ecosystems.
Li Lin, Yaorui Fei, Yunfeng Shen et al.· ACM Transactions on Software...· 0 citations
A high-quality benchmark of 1,000 code refinement instances from 328 Python, Java, and JavaScript repositories that focused on one of the most challenging code refinement scenarios that strictly requires repository-level knowledge reasoning, and a straightforward method, RepoRefiner, which retrieves repository-level co...
Ke Wang, Peng Lan, Jia-Kun Liu et al.· ACM Transactions on Software...· 1 citation
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