Yiming Zeng

Yiming Zeng is a PhD student in Computer Science at the University of Connecticut whose research focuses on large language models, efficient machine learning, and natural language processing. He previously served as a researcher at UPMC Hillman Cancer Center at the University of Pittsburgh, where he worked on AI applications for health. He is known for his work on precise text editing in LLMs, including the FineEdit framework accepted at EMNLP 2025, and multi-agent prompt optimization for text-to-image generation.