Yuan Zhang
I'm a Staff Research Scientist at Google where I develop new machine learning methods for products to enable new exciting capabilities. My area of interests include UI control with LLMs, multimodality, retrieval-based and retrieval-augmented models, semantic parsing.
I led collaborations with Assistant and Bard. Our work on retrieval-based models won the 2022 Assistant Tech Impact Awards.
Before coming to Google, I completed my Ph.D. at Massachusetts Institute of Technology, where my advisor was Regina Barzilay. Most of my Ph.D. work has been focused on algorithms for syntactic parsing and transfer learning. Before that I earned my Bachelor degree in Computer Science from Tsinghua University.
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Google
Few-shot Slot Filling and Intent Classification with Retrieved Examples
Dian Yu
Ice Pasupat
Qi Li
Xinya Du
2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2020)
Large-scale representation learning from visually grounded untranscribed speech
Gabriel Ilharco Magalhaes
Proceedings of the Conference on Natural Language Learning (2019)
Following Formulaic Map Instructions in a Street Simulation Environment
Volkan Cirik
Visually Grounded Interaction and Language Workshop (ViGIL) (2018)
