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# Keynote Speakers | ||
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ReNeuIR will have two keynote talks that we will announce soon. | ||
We are very excited to have [Zhuyun Dai](https://scholar.google.com/citations?user=9bbHwJIAAAAJ&hl=en) and [Qi Chen](https://www.microsoft.com/en-us/research/people/cheqi/) as | ||
keynote speakers for ReNeuIR 2024! Below you will a short bio for each speaker; titles and abstracts will be made available soon. | ||
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## Zhuyun Dai | ||
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Zhuyun Dai is a Staff Research Scientist at Google DeepMind. Her research interests lie in large language models, information retrieval, and machine learning. Recently, her work has concentrated on developing generalizable and capable neural retrieval models, enhancing large language model factuality, and advancing instruction fine-tuning techniques. Additionally, Zhuyun actively contributes to the organizational community of various conferences in these fields. | ||
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Zhuyun earned her Ph.D. from the Language Technologies Institute at Carnegie Mellon University in 2020, under the supervision of Prof. Jamie Callan. She holds an undergraduate degree in Computer Science from Peking University. | ||
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## Qi Chen | ||
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Qi Chen is currently a Principal Researcher of Microsoft Research Asia Vancouver. She obtained her Bachelor's and Ph.D. degrees from the School of Computer Science at Peking University, under the guidance of Professor Xiao Zhen. From 2013 to 2014, she worked as a visiting student under the supervision of Professor Jinyang Li at the System Group of New York University. She is a recipient of the OSDI'20 Best Paper Award and the NeurIPS'22 Outstanding Paper Award. Her current research interests include distributed systems, cloud computing, vector database and deep learning algorithms and artificial intelligence systems. |