Publications

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2020

  1. PPL Bench: Evaluation Framework For Probabilistic Programming Languages
    Sourabh Kulkarni, Kinjal Divesh Shah, Nimar Arora, Xiaoyan Wang, Yucen Lily Li, Nazanin Khosravani Tehrani, Michael Tingley, David Noursi, Narjes Torabi, Sepehr Akhavan Masouleh, Eric Lippert, and Erik Meijer
    In International Conference on Probabilistic Programming (PROBPROG) 2020
  2. HiBi: A hierarchical bigram model for associative learning
    Xiaoyan Wang
    Graduate Dissertations and Theses at Illinois 2020

2019

  1. Improving natural language inference using external knowledge in the science questions domain
    Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, and Michael Witbrock
    In Proceedings of the AAAI Conference on Artificial Intelligence 2019
  2. Answering science exam questions using query rewriting with background knowledge
    Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, and Michael Witbrock
    In Automated Knowledge Base Construction 2019
  3. Consistent classification with generalized metrics
    Xiaoyan Wang*, Ran Li*, Bowei Yan, and Oluwasanmi Koyejo
    arXiv preprint 2019
  4. Learning to Order Sub-questions for Complex Question Answering
    Yunan Zhang, Xiang Cheng, Yufeng Zhang, Zihan Wang, Zhengqi Fang, Xiaoyan Wang, Zhenya Huang, and Chengxiang Zhai
    arXiv preprint 2019