Alexander Zhou — accepted AI-conference papers

2026

MARS-SQL: A Multi-Agent Reinforcement Learning Framework For Text-To-SQL

Haolin Yang, Jipeng Zhang, Zhitao He, Alexander Zhou, Yi Fung

ICML 2026poster

Large Language Models (LLMs) often struggle with the precise logic and schema alignment required for complex Text-to-SQL tasks. While current methods rely heavily on static prompting, they lack the ability to dynamically adapt and self-correct through environmental interaction. To bridge this gap, w…

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2026

TIV: Thought Injection via Vectors for Efficient Reasoning in Large Reasoning Models

Yi Cao, Weijie Shi, Wei-Jie Xu, Yucheng Shen, Yue Cui, Hanghui Guo +6

AAAI 2026technical

Large Reasoning Models (LRMs) have recently demonstrated impressive performance across a range of reasoning tasks by generating intermediate thoughts. However, these models can suffer from overthinking—generating excessive tokens that contribute little to final accuracy while increasing inference co

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