Arian Hosseini

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Learning Contexts

Language Modelling

Variational Inference

Latent Dirichlet Allocation

Top Venues

BlackboxNLP@EMNLP

Publications

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 (2024)
Arian Hosseini, Xingdi Yuan, Nikolay Malkin, Aaron C. Courville, Alessandro Sordoni, Rishabh Agarwal
V-STaR: Training Verifiers for Self-Taught Reasoners. CoRR (2024)
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)
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 (2023)
Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville
On the Compositional Generalization Gap of In-Context Learning. BlackboxNLP@EMNLP (2022)
Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville
On the Compositional Generalization Gap of In-Context Learning. CoRR (2022)
Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville
Understanding by Understanding Not: Modeling Negation in Language Models. CoRR (2021)
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)