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Yunfeng Shen

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Open access Oct 2026

Cracking Query Bottlenecks: Towards Efficiency-Oriented Text-to-SQL Generation

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
Jul 2026

Evaluating Incompatible Third-party Library API Usage in LLM-based Code Completion

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. · 0 citations

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