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ORCIDSeyed Arian Hosseini
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- affiliation: Montreal Institute for Learning Algorithms (MILA), QC, CAnada
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2020 – today
- 2024
[i11]Arian Hosseini, Xingdi Yuan, Nikolay Malkin, Aaron C. Courville, Alessandro Sordoni, Rishabh Agarwal:
V-STaR: Training Verifiers for Self-Taught Reasoners. CoRR abs/2402.06457 (2024)- [i10]Shengyi Huang, Michael Noukhovitch, Arian Hosseini, Kashif Rasul, Weixun Wang, Lewis Tunstall:
The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization. CoRR abs/2403.17031 (2024) - [i9]Lunjun Zhang, Arian Hosseini, Hritik Bansal, Mehran Kazemi, Aviral Kumar, Rishabh Agarwal:
Generative Verifiers: Reward Modeling as Next-Token Prediction. CoRR abs/2408.15240 (2024) - [i8]Hritik Bansal, Arian Hosseini, Rishabh Agarwal, Vinh Q. Tran, Mehran Kazemi:
Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling. CoRR abs/2408.16737 (2024) - [i7]Arian Hosseini, Alessandro Sordoni, Daniel Toyama, Aaron C. Courville, Rishabh Agarwal:
Not All LLM Reasoners Are Created Equal. CoRR abs/2410.01748 (2024) - 2023
- [c5]Alessandro Sordoni, Eric Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux:
Joint Prompt Optimization of Stacked LLMs using Variational Inference. NeurIPS 2023 - [i6]Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux:
Deep Language Networks: Joint Prompt Training of Stacked LLMs using Variational Inference. CoRR abs/2306.12509 (2023) - 2022
- [c4]Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville:
On the Compositional Generalization Gap of In-Context Learning. BlackboxNLP@EMNLP 2022: 272-280 - [i5]Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville:
On the Compositional Generalization Gap of In-Context Learning. CoRR abs/2211.08473 (2022) - 2021
- [c3]Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville:
Understanding by Understanding Not: Modeling Negation in Language Models. NAACL-HLT 2021: 1301-1312 - [i4]Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville:
Understanding by Understanding Not: Modeling Negation in Language Models. CoRR abs/2105.03519 (2021)
2010 – 2019
- 2019
- [c2]Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Seyed Arian Hosseini, Pushmeet Kohli, Edward Grefenstette:
Learning to Understand Goal Specifications by Modelling Reward. ICLR (Poster) 2019 - [c1]Yikang Shen, Shawn Tan, Seyed Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville:
Ordered Memory. NeurIPS 2019: 5038-5049 - [i3]Yikang Shen, Shawn Tan, Seyedarian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville:
Ordered Memory. CoRR abs/1910.13466 (2019) - 2018
- [i2]Stanislaw Jastrzebski, Dzmitry Bahdanau, Seyedarian Hosseini, Michael Noukhovitch, Yoshua Bengio, Jackie Chi Kit Cheung:
Commonsense mining as knowledge base completion? A study on the impact of novelty. CoRR abs/1804.09259 (2018) - [i1]Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet, Wojciech Stokowiec, Ying Zhang, Christian Jauvin, Chris Pal:
Fashion-Gen: The Generative Fashion Dataset and Challenge. CoRR abs/1806.08317 (2018)
Coauthor Index
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