Arian Hosseini

19 papers A* 4Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models. ICLR Michael Noukhovitch, Shengyi Huang, Sophie Xhonneux, Arian Hosseini, Rishabh Agarwal, Aaron C. Courville
2025	A*	`conf`	Generative Verifiers: Reward Modeling as Next-Token Prediction. ICLR Lunjun Zhang, Arian Hosseini, Hritik Bansal, Mehran Kazemi, Aviral Kumar, Rishabh Agarwal
2025	J	`jnl`	Multi-Turn Puzzles: Evaluating Interactive Reasoning and Strategic Dialogue in LLMs. CoRR Kartikeya Badola, Jonathan Simon, Arian Hosseini, Sara Marie Mc Carthy, Tsendsuren Munkhdalai, Abhimanyu Goyal, Tomás Kociský, Shyam Upadhyay, Bahare Fatemi, Mehran Kazemi
2025	J	`jnl`	Putting the Value Back in RL: Better Test-Time Scaling by Unifying LLM Reasoners With Verifiers. CoRR Kusha Sareen, Morgane M. Moss, Alessandro Sordoni, Rishabh Agarwal, Arian Hosseini
2025	J	`jnl`	Shape of Thought: When Distribution Matters More than Correctness in Reasoning Tasks. CoRR Abhranil Chandra, Ayush Agrawal, Arian Hosseini, Sebastian Fischmeister, Rishabh Agarwal, Navin Goyal, Aaron C. Courville
2025	A*	`conf`	Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling. ICLR Hritik Bansal, Arian Hosseini, Rishabh Agarwal, Vinh Q. Tran, Mehran Kazemi
2025	J	`jnl`	When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning. CoRR Nishad Singhi, Hritik Bansal, Arian Hosseini, Aditya Grover, Kai-Wei Chang, Marcus Rohrbach, Anna Rohrbach
2024	J	`jnl`	Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models. CoRR Michael Noukhovitch, Shengyi Huang, Sophie Xhonneux, Arian Hosseini, Rishabh Agarwal, Aaron C. Courville
2024	J	`jnl`	Generative Verifiers: Reward Modeling as Next-Token Prediction. CoRR Lunjun Zhang, Arian Hosseini, Hritik Bansal, Mehran Kazemi, Aviral Kumar, Rishabh Agarwal
2024	J	`jnl`	Not All LLM Reasoners Are Created Equal. CoRR Arian Hosseini, Alessandro Sordoni, Daniel Toyama, Aaron C. Courville, Rishabh Agarwal
2024	J	`jnl`	Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling. CoRR Hritik Bansal, Arian Hosseini, Rishabh Agarwal, Vinh Q. Tran, Mehran Kazemi
2024	J	`jnl`	The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization. CoRR Shengyi Huang, Michael Noukhovitch, Arian Hosseini, Kashif Rasul, Weixun Wang, Lewis Tunstall
2024	J	`jnl`	V-STaR: Training Verifiers for Self-Taught Reasoners. CoRR Arian Hosseini, Xingdi Yuan, Nikolay Malkin, Aaron C. Courville, Alessandro Sordoni, Rishabh Agarwal
2023	J	`jnl`	Deep Language Networks: Joint Prompt Training of Stacked LLMs using Variational Inference. CoRR Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
2023	A*	`conf`	Joint Prompt Optimization of Stacked LLMs using Variational Inference. NeurIPS Alessandro Sordoni, Eric Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
2022	—	`conf`	On the Compositional Generalization Gap of In-Context Learning. BlackboxNLP@EMNLP Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville
2022	J	`jnl`	On the Compositional Generalization Gap of In-Context Learning. CoRR Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville
2021	—	`conf`	Understanding by Understanding Not: Modeling Negation in Language Models. NAACL-HLT Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville
2021	J	`jnl`	Understanding by Understanding Not: Modeling Negation in Language Models. CoRR Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville