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Shenghao Ye

2 accepted papers

2026

HardSecBench: Benchmarking the Security Awareness of LLMs for Hardware Code Generation

IJCAI 2026

Large language models (LLMs) are increasingly used for hardware and firmware code generation, but existing studies primarily evaluate functional correctness while largely overlooking security. However, LLM-generated code that appears functionally sound may embed security flaws which could induce cat

Cited by 0Scholar
2025

SQLForge: Synthesizing Reliable and Diverse Data to Enhance Text-to-SQL Reasoning in LLMs

ACL 2025finding

Large Language models (LLMs) have demonstrated significant potential in text-to-SQL reasoning tasks, yet a substantial performance gap persists between existing open-source models and their closed-source counterparts. In this paper, we introduce SQLForge, a novel approach for synthesizing reliable a…

Cited by 0SourcePDFScholar