My name is Kaiyang Wan, and I am a PhD student at INSAIT, where I am fortunate to be supervised by Dr. Yuxia Wang, an exceptionally supportive and empathetic mentor. She fosters a space that encourages curiosity and creativity, where guidance combines academic rigor with personal growth, a spirit of genuine exploration, and a deep love for science and research, just like my precious supervisor Dr. Xiuying Chen at MBZUAI.

I study multi-objective optimization (MOO) to build effective and adaptive multi-agent systems (MAS) with large language models (LLMs) for complex natural language processing (NLP) problems.

Research Experience

• Preprint A Fano-Style Accuracy Upper Bound for LLM Single-Pass Reasoning in Multi-Hop QA, Kaiyang Wan, Lang Gao, Honglin Mu, Preslav Nakov, Yuxia Wang, Xiuying Chen

• Preprint Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs, Lang Gao, Kaiyang Wan, Wei Liu, Chenxi Wang, Zirui Song, Zixiang Xu, Yanbo Wang, Veselin Stoyanov, Xiuying Chen

• ACM MM 2025 From Individuals to Crowds: Dual-Level Public Response Prediction in Social Media, Jinghui Zhang, Kaiyang Wan, Longwei Xu, Ao Li, Zongfang Liu, Xiuying Chen

• ACL 2025 Flipping Knowledge Distillation: Leveraging Small Models’ Expertise to Enhance LLMs in Text Matching, Mingzhe Li, Jing Xiang, Qishen Zhang, Kaiyang Wan, Xiuying Chen

• Findings of ACL 2025 A Cognitive Writing Perspective for Constrained Long-Form Text Generation, Kaiyang Wan, Honglin Mu, Rui Hao, Haoran Luo, Tianle Gu, Xiuying Chen

• NeurIPS 2024 Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction, Haoran Luo, Haihong E, Yuhao Yang, Tianyu Yao, Yikai Guo, Zichen Tang, Wentai Zhang, Shiyao Peng, Kaiyang Wan, Meina Song, Wei Lin, Yifan Zhu, Luu Anh Tuan

• ACL 2023 HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level, Haoran Luo, Haihong E, Yuhao Yang, Yikai Guo, Mingzhi Sun, Tianyu Yao, Zichen Tang, Kaiyang Wan, Meina Song, Wei Lin

• AAAI 2023 NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs, Haoran Luo, Haihong E, Yuhao Yang, Gengxian Zhou, Yikai Guo, Tianyu Yao, Zichen Tang, Xueyuan Lin, Kaiyang Wan

• AAAI 2023 DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing, Haoran Luo, Haihong E, Ling Tan, Gengxian Zhou, Tianyu Yao, Kaiyang Wan

Educations & Experiences

• 2020.09 - 2024.06: Undergraduate, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing.
• 2024.09 - 2025.09: Research Associate, Natural Language Processing Department, MBZUAI, Abu Dhabi, supervised by Dr. Xiuying Chen.

Miscellaneous

This homepage serves as a space for reflection and renewal. Here, I document my progress and set my future goals, turning the challenges and uncertainties of my academic journey into fuel for continuous growth. Here, I see the uncharted paths that lie ahead and remind myself to keep moving forward, guided by curiosity and ambition. I believe research is a journey of discovery and impact—a way to push boundaries and shape a future where technology promotes social productivity and serves humanity.