About

I am an incoming Ph.D. student in Computer Science at Florida State University. My research focuses on large language models, financial reasoning, biomedical AI, knowledge graphs, and benchmark construction for evidence-intensive reasoning. I received research training through collaborations with Singapore University of Technology and Design, National Taiwan University, UC Berkeley Haas School of Business, INSAIT, and Osaka University.

I aim to build trustworthy AI systems that turn complex scientific and financial evidence into reliable, actionable intelligence.

[Open to Collaboration]: I am interested in collaborations on financial AI, LLM evaluation, biomedical knowledge graphs, epilepsy research, multi-turn LLM behavior, and AI for science. Please email me with a brief description of the project or topic.

Research Summary: My research interest mainly lies in building reliable AI systems for high-stakes reasoning tasks where important context is incomplete, multilingual, domain-specific, or evidence-intensive. Recent directions include:

• AI for Science: Financial reasoning, localized disclosure reporting, multilingual and multimodal evaluation of financial AI systems; epilepsy knowledge graphs, evidence-intensive reasoning, and citation-aware LLM systems for neuroscience literature
• LLM Evaluation: Benchmark construction, hidden-premise reasoning, agentic benchmarks, and model behavior under multi-turn interaction
• AI Behavior & Metacognition: Linguistic convergence, topic disruption, self-monitoring, and reasoning capabilities in large language models
• AI for Risk & Society: Wildfire prediction, disaster impacts, and spatial econometric analysis of hurricane-related financial risk

Education

• Florida State University, Ph.D. in Computer Science, Sep. 2026 - Jun. 2030
• University of California, Berkeley, Exchange Student, GPA: 4.0/4.0, Aug. 2024 - Dec. 2024

News

Selected Publications

• RealFin: How Well Do LLMs Reason About Finance When Users Leave Things Unsaid? Yuyang Dai, Yan Lin, Zhuohan Xie, Yuxia Wang. ACL 2026. First author.
• The CLEF-2026 FinMMEval Lab: Multilingual and Multimodal Evaluation of Financial AI Systems. Zhuohan Xie, Rania Elbadry, Fan Zhang, Georgi Georgiev, Xueqing Peng, Lingfei Qian, Jimin Huang, Dimitar Dimitrov, Vanshikaa Jani, Yuyang Dai, et al. ECIR 2026.
• FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosures. Fan Zhang, Mingzi Song, Rania Elbadry, Yankai Chen, Shaobo Wang, Yixi Zhou, Xunwen Zheng, Yueru He, Yuyang Dai, et al. ACL Demo 2026.