PhD student at Zhejiang University, since 2023.
Advised by Prof. Hehe Fan.
I study how language models can reason with structure, investigate complex questions, and collaborate as agents. My research connects structured reasoning, autonomous research, and multi-agent systems.
Research group · Super Research · Personal website
| EMNLP 2026 MessageSieve Runtime Message Pruning for Accurate and Efficient LLM-Based Multi-Agent Communication Yubo Dong et al. · Unreleased manuscript Repository | |
| SIGGRAPH Asia 2026 StructSVG Tree-Graph Guided Multi-Agent Text-to-SVG Generation Yubo Dong et al. · Accepted Repository | |
 | arXiv 2026 Super Research First author · Yubo Dong, Nianhao You, Yuxuan Hou, Zixun Sun, Yue Zhang, Liang Zhang, Siyuan Zhao, Hehe Fan A benchmark for complex autonomous research through deep investigation and broad evidence gathering. Paper · Project · Repository · Dataset |
 | ICLR 2026 Structured Reasoning First author · Yubo Dong, Hehe Fan Explicit reasoning-step structure for efficient and explainable language models. Paper · Repository · Dataset Dataset and project materials available; training code and checkpoints not yet released. |
 | CVPR 2026 Hi-Lo Prune Second author · Zixun Sun, Yubo Dong, Hehe Fan, Yi Yang Efficient vision-language inference through hierarchical token selection and information merging. Paper · Repository Project information available; implementation not yet released. |
 | ACL 2024 VillagerAgent First author · Yubo Dong, Xukun Zhu, Zhengzhe Pan, Linchao Zhu, Yi Yang Coordinating collaborative agents through explicit task graphs in Minecraft. Paper · Code |
- Research collaboration with Ant Group, September 2025 – October 2026.
- Reviewer: ACL 2026, ICLR 2027.
- National First Prize, 6th Huawei Cup Graduate Artificial Intelligence Innovation Competition, 2024 — team member.
- Outstanding Graduate Student Cadre and Five-Good Graduate Student, Zhejiang University.
- Third Prize, 5th Loongson Cup National College Student Computer System Capability Competition, 2022.