About

I am Qiao Xiao, a PhD student in Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST), advised by Prof. Yangqiu Song.

My research interests include reinforcement learning, GraphRAG, and tool discovery for large language model agents. My recent work includes AutoGraph-R1, SING, and TERAG.

Before joining HKUST, I completed a master’s degree in Computer Science at Cornell University and a bachelor’s degree in Computer Science and Engineering at The Ohio State University.

Publications

• AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction. ACL 2026. Paper
• SING: Synthetic Intention Graph for Scalable Active Tool Discovery in LLM Agents. arXiv 2026. Paper
• TERAG: Token-Efficient Graph-Based Retrieval-Augmented Generation. arXiv 2025. Paper

Honors

• Hong Kong PhD Fellowship (HKPF), 2026.
• Dean’s List, The Ohio State University, every spring and autumn semester from Spring 2022 through Spring 2025.

Contact: qxiaoac@connect.ust.hk.