Shengyao Zhuang
Login to view DISC.Shengyao Zhuang is an Applied Scientist at Amazons AGI division, focusing on web search technologies, large language models, and information retrieval. A Ph. D. graduate from The University of Queensland, his research on neural rankers has been recognized with multiple best paper awards, driving advancements in LLM-powered search engines.
He has won several accolades for his work, including the Best Paper Award for research on the robustness of neural rankers to typos.
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