基本信息
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职业迁徙
个人简介
I have a broad interest in Natural Language Processing (6 years of research and development experience) and Machine Learning. My research goal is to 1) solve the data scarcity problem, 2) improve the generalizability of models, and 3) design controllable and interpretable models, by 1) using unlabeled, out-of-domain or augmented data, 2) incorporating external knowledge or inductive biases (e.g. intermediate abstractions, model architecture biases etc.) into models, and 3) large-scale pretraining.
Previously, I was trying to achieve this goal in 1) text generation, 2) semantic parsing / question answering, 3) multilingual NLP, and 4) other Natural Languge/Multimoldality understanding tasks.
Recent advances in the field always make me rethink the utility of inductive biases in the future, considering that the effect of structral biases is decreasing with larger pretrained unified multimodal, multitask, multilingual Transformer models (Paper List of Multi-modal Deep Learning).
研究兴趣
论文共 12 篇作者统计合作学者相似作者
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Yu Wang,Yifan Gao,Xiusi Chen,Haoming Jiang, Shiyang Li,Jingfeng Yang,Qingyu Yin, Zheng Li, Xian Li, Bing Yin,Jingbo Shang,Julian McAuley
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Kewei Cheng,Jingfeng Yang,Haoming Jiang,Zhengyang Wang,Binxuan Huang,Ruirui Li, Shiyang Li, Zheng Li,Yifan Gao,Xian Li,Bing Yin,Yizhou Sun
arxiv(2024)
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CoRR (2023): 1-5
CoRR (2023)
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