1 code implementation • Transactions of the Association of Computational Linguistics 2019 • Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M. Dai, Jakob Uszkoreit, Quoc Le, Slav Petrov
The public release consists of 307, 373 training examples with single annotations, 7, 830 examples with 5-way annotations for development data, and a further 7, 842 examples 5-way annotated sequestered as test data.
Ranked #7 on Question Answering on Natural Questions (long)
no code implementations • NeurIPS 2018 • Richard Shin, Illia Polosukhin, Dawn Song
The task of program synthesis, or automatically generating programs that are consistent with a provided specification, remains a challenging task in artificial intelligence.
1 code implementation • 6 Jul 2018 • Maksym Zavershynskyi, Alex Skidanov, Illia Polosukhin
We present a program synthesis-oriented dataset consisting of human written problem statements and solutions for these problems.
no code implementations • 12 Feb 2018 • Illia Polosukhin, Alexander Skidanov
We present a Neural Program Search, an algorithm to generate programs from natural language description and a small number of input/output examples.
no code implementations • ICLR 2018 • Illia Polosukhin, Alexander Skidanov
We present a Neural Program Search, an algorithm to generate programs from natural language description and a small number of input / output examples.
1 code implementation • 8 Aug 2017 • Heng-Tze Cheng, Zakaria Haque, Lichan Hong, Mustafa Ispir, Clemens Mewald, Illia Polosukhin, Georgios Roumpos, D. Sculley, Jamie Smith, David Soergel, Yuan Tang, Philipp Tucker, Martin Wicke, Cassandra Xia, Jianwei Xie
Our focus is on simplifying cutting edge machine learning for practitioners in order to bring such technologies into production.
no code implementations • ACL 2017 • Eunsol Choi, Daniel Hewlett, Jakob Uszkoreit, Illia Polosukhin, Alex Lacoste, re, Jonathan Berant
We present a framework for question answering that can efficiently scale to longer documents while maintaining or even improving performance of state-of-the-art models.
572 code implementations • NeurIPS 2017 • Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration.
Ranked #2 on Multimodal Machine Translation on Multi30K (BLUE (DE-EN) metric)
no code implementations • 6 Nov 2016 • Eunsol Choi, Daniel Hewlett, Alexandre Lacoste, Illia Polosukhin, Jakob Uszkoreit, Jonathan Berant
We present a framework for question answering that can efficiently scale to longer documents while maintaining or even improving performance of state-of-the-art models.
2 code implementations • ACL 2016 • Daniel Hewlett, Alexandre Lacoste, Llion Jones, Illia Polosukhin, Andrew Fandrianto, Jay Han, Matthew Kelcey, David Berthelot
The task contains a rich variety of challenging classification and extraction sub-tasks, making it well-suited for end-to-end models such as deep neural networks (DNNs).