3 papers
cs.AI2026
ALIVE: Awakening LLM Reasoning via Adversarial Learning and Instructive Verbal Evaluation
Yiwen Duan, Jing Ye, Xinpei Zhao
The quest for expert-level reasoning in Large Language Models (LLMs) has been hampered by a persistent \textit{reward bottleneck}: traditional reinforcement learning (RL) relies on…
cs.AI2026
Beyond Text-to-SQL: Can LLMs Really Debug Enterprise ETL SQL?
Jing Ye, Yiwen Duan, Yonghong Yu +3
SQL is central to enterprise data engineering, yet generating fully correct SQL code in a single attempt remains difficult, even for experienced developers and advanced text-to-SQL…
cs.CL2024
PDC & DM-SFT: A Road for LLM SQL Bug-Fix Enhancing
Yiwen Duan, Yonghong Yu, Xiaoming Zhao +2
Code Large Language Models (Code LLMs), such as Code llama and DeepSeek-Coder, have demonstrated exceptional performance in the code generation tasks. However, most existing models…