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职业迁徙
个人简介
I am a postdoctoral researcher at Allen Institute of Artificial Intelligence, working with Yejin Choi, as part of the MOSAIC team.
My research interests include studying bias in datasets - the good, the bad and the ugly. Good biases, such as structural inductive biases beneficial for language understanding, I wrote a PhD thesis on these. On the other hand, crowd-sourced, large-scale datasets are riddled with annotation artifacts which are spurious correlations with unintended effects; I call these the bad biases. And finally, biases can be ugly, when the training data contains a large portion of mislabeled examples, or noise (more on this soon!).
I obtained my PhD from Carnegie Mellon University in May 2019, where I was advised by Noah Smith and Chris Dyer. During most of my PhD I was a visiting student at the Paul G. Allen School of Computer Science at the University of Washington in Seattle.
My research interests include studying bias in datasets - the good, the bad and the ugly. Good biases, such as structural inductive biases beneficial for language understanding, I wrote a PhD thesis on these. On the other hand, crowd-sourced, large-scale datasets are riddled with annotation artifacts which are spurious correlations with unintended effects; I call these the bad biases. And finally, biases can be ugly, when the training data contains a large portion of mislabeled examples, or noise (more on this soon!).
I obtained my PhD from Carnegie Mellon University in May 2019, where I was advised by Noah Smith and Chris Dyer. During most of my PhD I was a visiting student at the Paul G. Allen School of Computer Science at the University of Washington in Seattle.
研究兴趣
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arxiv(2024)
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ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023): 8396-8400
CoRR (2023): 790-807
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JOURNAL OF MACHINE LEARNING RESEARCH (2023)
CoRR (2023)
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arXiv (Cornell University) (2022)
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