most citedHardSecBench: Benchmarking the Security Awareness of LLMs for Hardware Code Generation

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cs.CL2026

Rethinking Table Pruning in TableQA: From Sequential Revisions to Gold Trajectory-Supervised Parallel Search

Yu Guo, Shenghao Ye, Shuangwu Chen +8

Table Question Answering (TableQA) benefits significantly from table pruning, which extracts compact sub-tables by eliminating redundant cells to streamline downstream reasoning. H…

cs.CL2025

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

Yu Guo, Dong Jin, Shenghao Ye +3

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…