Peng Xu

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