Seyed Arian Hosseini

According to our database, Seyed Arian Hosseini authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models.

Michael Noukhovitch, Shengyi Huang, Sophie Xhonneux, Arian Hosseini, Rishabh Agarwal, Aaron C. Courville

CoRR, 2024

Not All LLM Reasoners Are Created Equal.

Arian Hosseini, Alessandro Sordoni, Daniel Toyama, Aaron C. Courville, Rishabh Agarwal

CoRR, 2024

Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling.

Hritik Bansal, Arian Hosseini, Rishabh Agarwal, Vinh Q. Tran, Mehran Kazemi

CoRR, 2024

Generative Verifiers: Reward Modeling as Next-Token Prediction.

Lunjun Zhang, Arian Hosseini, Hritik Bansal, Mehran Kazemi, Aviral Kumar, Rishabh Agarwal

CoRR, 2024

The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization.

Shengyi Huang, Michael Noukhovitch, Arian Hosseini, Kashif Rasul, Weixun Wang, Lewis Tunstall

CoRR, 2024

V-STaR: Training Verifiers for Self-Taught Reasoners.

Arian Hosseini, Xingdi Yuan, Nikolay Malkin, Aaron C. Courville, Alessandro Sordoni, Rishabh Agarwal

CoRR, 2024

2023

Deep Language Networks: Joint Prompt Training of Stacked LLMs using Variational Inference.

Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux

CoRR, 2023

Joint Prompt Optimization of Stacked LLMs using Variational Inference.

Alessandro Sordoni, Eric Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

On the Compositional Generalization Gap of In-Context Learning.

Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

2021

Understanding by Understanding Not: Modeling Negation in Language Models.

Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2019

Ordered Memory.

Yikang Shen, Shawn Tan, Seyed Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning to Understand Goal Specifications by Modelling Reward.

Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Seyed Arian Hosseini, Pushmeet Kohli, Edward Grefenstette

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Fashion-Gen: The Generative Fashion Dataset and Challenge.

Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet, Wojciech Stokowiec, Ying Zhang, Christian Jauvin, Chris Pal

CoRR, 2018

Commonsense mining as knowledge base completion? A study on the impact of novelty.

Stanislaw Jastrzebski, Dzmitry Bahdanau, Seyedarian Hosseini, Michael Noukhovitch, Yoshua Bengio, Jackie Chi Kit Cheung

CoRR, 2018