Seongwoo Lim

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I’m a postdoctoral researcher in SAIL at Korea Advanced Institute of Science and Technology (KAIST). I received my B.S. and Ph.D. degrees from Ulsan National Institute of Science and Technology (UNIST) under the supervision of Prof. Jaesik Choi. I am interested in explainable AI that clarifies how models make decisions, as well as in efficient inference in symbolic model.

Here are my main links:

Publications

2024

  1. Pathwise Explanation of ReLU Neural Networks
    Seongwoo Lim, Won Jo, Joohyung Lee, and Jaesik Choi
    In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, May 2024
    PDF

2017

  1. UNIST SAIL System for TAC 2017 Cold Start Slot Filling
    Seongwoo Lim, Soonjae Kwon, Sehyun Lee, and Jaesik Choi
    In Proceedings of the Text Analysis Conference (TAC) KBP 2017 Workshop, Nov 2017

2016

  1. Automatic Relation Extraction for Knowledge Base Population
    Seongwoo Lim, Jiyeon Han, Kyowoon Lee, and Jaesik Choi
    In Communications of the Korean Institute of Information Scientists and Engineers, Sep 2016
  2. SAIL (UNIST) team Participation in KBP 2016 Cold-Start Slot filling
    Seongwoo Lim, Jiyeon Han, Kyowoon Lee, and Jaesik Choi
    In Proceedings of the Text Analysis Conference (TAC) KBP 2016 Workshop, Nov 2016