V-STaR: Training Verifiers for Self-Taught Reasoners - Arian Hosseini, Xingdi Yuan, Nikolay Malkin, Aaron Courville, Alessandro Sordoni, Rishabh Agarwal
Deep Language Networks: Joint Prompt Training of Stacked LLMs using Variational Inference Neurips 2023 - Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
On the Compositional Generalization Gap of In-Context Learning EMNLP 2022 (workshop) - Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni and Aaron Courville
Understanding by Understanding Not: Modeling Negation in Language Models NAACL 2021 - Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, Devon Hjelm, Alessandro Sordoni, and Aaron Courville
Ordered Memory NeurIPS 2019 - Yikang Shen, Shawn Tawn, Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, and Aaron Courville
Learning to Understand Goal Speci cations by Modelling Reward ICLR 2019 - Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Arian Hosseini, Pushmeet Kohli, Edward Grefenstette
Commonsense mining as knowledge base completion? A study on the impact of novelty NAACL-HLT 2018 (workshop) - Stanisław Jastrzębski, Dzmitry Bahdanau, Arian Hosseini, Michael Noukhovitch, Yoshua Bengio, Jackie Chi Kit Cheung