Peng Xu

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Senior Researcher

MSc Computing Science, University of Alberta

I'm a Senior Researcher at Borealis AI, Toronto. I'm broadly interested in a range of topics on machine learning and natural language processing, including semantic parsing, language modelling, generative modelling, information extraction, text generation and optimization. My research goal is to find the right way to achieve understandings between humans and machines, so that machines can learn logic and reasoning like humans and humans can trust machines to facilitate critical decision making.

Before joining Borealis AI, I was a master student of Department of Computing Science at University of Alberta, advised by Denilson Barbosa.

Research Areas

Reinforcement Learning

Natural Language Processing

Publications

June 3, 2021 Optimizing Deeper Transformers on Small Datasets
Association for Computational Linguistics (ACL), 2021
Authors: P. Xu , D. Kumar, W. Yang , W. Zi , K. Tang , C. Huang , J. Chi Kit Cheung, S. Prince, Y. Cao
Abstract Paper BibTeX
June 3, 2021 TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface
Association for Computational Linguistics (ACL), 2021
Authors: *P. Xu , *W. Zi , H. Shahidi , A. Kádár , K. Tang , W. Yang , J. Ateeq , H. Barot , M. Alon , Y. Cao
* Denotes equal contribution
Abstract Paper BibTeX
July 12, 2020 On Variational Learning of Controllable Representations for Text without Supervision
International Conference on Machine Learning (ICML), 2020
Authors: P. Xu , Y. Cao
Abstract Paper BibTeX
June 3, 2020 Better Long-Range Dependency by Bootstrapping A Mutual Information Regularizer
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Authors: *Y. Cao, *P. Xu
* Denotes equal contribution
Abstract Paper BibTeX
July 28, 2019 A Cross-Domain Transferable Neural Coherence Model
Association for Computational Linguistics (ACL), 2019
Authors: P. Xu , H. Saghir, J. Kang , L. Long, A. J. Bose, Y. Cao
Abstract Paper BibTeX
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