Fuyang (Scott) Cui
Computer Science @ University of Toronto
Reinforcement Learning · Large Language Models
Looking for Summer 2026 ML Engineer/Scientist internship! 🔍
I'm a MScAC student at the University of Toronto working on Reinforcement Learning and Large Language Models. I'm fortunate to be supervised by Prof. Sheila McIlraith and Prof. Si Xujie. I previously worked on LLM evaluation in Jimmy Ba's group, guided by Silviu Pitis, Michael Zhang, Pashootan Vaezipoor, and more.
I love music 🎵, beatboxing 🎤, table tennis 🏓, and bodybuilding 🏋️. Feel free to connect if anything comes to mind or you just want to say hi!
Blair Yang *, Fuyang Cui *, Keiran Paster, Jimmy Ba, Pashootan Vaezipoor, Silviu Pitis, Michael R. Zhang
NeurIPS 2024 SoLaR Workshop (Spotlight) · 2024
An automated qualitative-evaluation framework for specialized, open-ended, and agentic tasks of LLMs.
Dec 30, 2025
Multimodal Retrieval for Automated Music Video Synthesis
A framework for automating music video editing by bridging the 'semantic gap' between abstract lyrics and concrete footage using Multi-Stream Synergy Retrieval.
Dec 5, 2025
Beyond the Fork: Is High Entropy Enough?
Investigating 'Silent Errors' in LLM Reasoning—where models are confident but wrong.
Dec 1, 2025
CausalPool: Do VLMs Learn Physics or Just Match Patterns?
Investigating the 'Causal Disconnect' in Vision-Language Models through counterfactual supervision.
Dec 18, 2024
Test Blog Post
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