GuoZiming

GuoZiming

he/him

Coder

Publications

You can also find my articles on my Google Scholar profile.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types

Published in IJCNN25 Arxiv, 2025

Developed MMSQL, a test suite that evaluates how well LLMs manage different question types and multi-turn interactions. Additionally, created a multi-agent system to better identify question types and select appropriate strategies. Experiments show that this approach enhances the models' ability to navigate conversational complexities. For a more detailed presentation, refer to the Page. The paper was accepted for presentation at IJCNN 2025.

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QDA-SQL: Questions Enhanced Dialogue Augmentation for Multi-Turn Text-to-SQL

Published in Arxiv, 2024

Fine-tuning LLMs for Text-to-SQL tasks is effective, but they often struggle with multi-turn queries due to ambiguity. QDA-SQL, a data augmentation method that generates diverse multi-turn Q&A pairs using LLMs. Fine-tuning with QDA-SQL improves SQL statement accuracy and enhances the models' ability to manage challenging, unanswerable questions. The generation script and test set are released at Github.

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