基本信息
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职业迁徙
个人简介
I develop novel machine learning solutions for natural language understanding problems. I build AI applications that interact with and learn from people.
My research interest has been under the following themes:
Self-supervised Learning and Few-shot Learning: Zero/few-shot learning with large-scale language models.
Neural Symbolic Representation and Reasoning: Learning representation that jointly encodes textual and symbolic knowledge to support reasoning in downstream tasks.
Natural Language Interfaces: Learning to map user utterances to executable machine instructions in complex scenarios; building natural language powered software interfaces.
Fairness and Accountability: Mitigating unwanted model biases; improving model robustness; uncovering social biases via text analysis.
My research interest has been under the following themes:
Self-supervised Learning and Few-shot Learning: Zero/few-shot learning with large-scale language models.
Neural Symbolic Representation and Reasoning: Learning representation that jointly encodes textual and symbolic knowledge to support reasoning in downstream tasks.
Natural Language Interfaces: Learning to map user utterances to executable machine instructions in complex scenarios; building natural language powered software interfaces.
Fairness and Accountability: Mitigating unwanted model biases; improving model robustness; uncovering social biases via text analysis.
研究兴趣
论文共 45 篇作者统计合作学者相似作者
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Sainbayar Sukhbaatar,Olga Golovneva, Vasu Sharma,Hu Xu,Xi Victoria Lin, Baptiste Rozière,Jacob Kahn,Daniel Li, Wen-tau Yih,Jason Weston,Xian Li
arxiv(2024)
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Weijia Shi, Sewon Min,Maria Lomeli,Chunting Zhou,Margaret Li, Gergely Szilvasy, Rich James,Xi Victoria Lin, Noah A. Smith,Luke Zettlemoyer,Scott Yih,Mike Lewis
arxiv(2023)
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Xi Victoria Lin, Xilun Chen,Mingda Chen,Weijia Shi,Maria Lomeli,Rich James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy,Mike Lewis, Luke Zettlemoyer,Scott Yih
ICLR 2024 (2023)
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arXiv (Cornell University) (2023)
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