Ming Zhong
Research Fellow at Anthropic
Champaign, Illinois, United States
Summary
👤
Senior🎓
Top SchoolMing Zhong is an LLM-focused research fellow with eight years of experience advancing large language model capabilities across industry-leading labs, currently at Anthropic after internships at DeepMind, Meta, and Microsoft. His work spans long-context summarization, parametric knowledge transfer, and knowledge composition for text-to-image diffusion models, reflecting a blend of core NLP and multimodal research. Trained at Fudan and East China Normal and pursuing a PhD at UIUC, he combines rigorous academic grounding with hands-on production research at top AI organizations. Notably, he has rotated through both product-facing and foundational teams (e.g., Llama post-training and Azure AI), giving him a practical perspective on scaling research into deployable systems.
8 years of coding experience
Bachelor's degree Computer Science, Bachelor's degree Computer Science at East China Normal UniversityMaster's degree Computer Science, Master's degree Computer Science at Fudan UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Illinois Urbana-Champaign
Github Skills (39)
machine-translation10
summarization10
benchmark10
named-entity-recognition10
in-progress10
distilbert10
machine-learning10
matching10
language-processing10
datasets10
natural-language-processing10
text-processing10
nlp10
electra9
searching9
Programming languages (2)
Github contributions (5)
maszhongming/maszhongming.github.io
Apr 2021 - Nov 2022
Contributions:76 commits, 90 pushes, 1 branch in 1 year 6 months
Yale-LILY/QMSum
Apr 2021 - Nov 2021
Dataset for NAACL 2021 paper: "QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization"
Contributions:92 commits, 2 PRs, 89 pushes in 7 months
querynaacldatasetbenchmarkdomain
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