基本信息
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职业迁徙
个人简介
My research uses tools from statistics to make machine learning systems more robust and trustworthy — especially in complex systems such as large language models. The goal of my research is to use robustness and worst-case performance as a lens to understand and make progress on several fundamental challenges in machine learning and natural language processing. A few topics of recent interest are,
Long-tail behavior
How can we ensure that a machine learning system won't fail catastrophically in the wild under changing conditions?
Understanding
A system which understands how to answer questions or generate text should also do so robustly out-of-domain.
Fairness
Machine learning systems which rely on unreliable correlations can result in spurious and harmful predictions.
Long-tail behavior
How can we ensure that a machine learning system won't fail catastrophically in the wild under changing conditions?
Understanding
A system which understands how to answer questions or generate text should also do so robustly out-of-domain.
Fairness
Machine learning systems which rely on unreliable correlations can result in spurious and harmful predictions.
研究兴趣
论文共 126 篇作者统计合作学者相似作者
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Alon Albalak,Yanai Elazar,Sang Michael Xie,Shayne Longpre, Nathan Lambert,Xinyi Wang,Niklas Muennighoff,Bairu Hou,Liangming Pan, Haewon Jeong,Colin Raffel,Shiyu Chang,
arxiv(2024)
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CoRR (2024)
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CoRR (2023)
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arxiv(2023)
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arxiv(2023)
Oper. Res.no. 2 (2023): 649-664
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D-Core
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