Nathan Grinsztajn
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
5
Active years
2021–2024
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | EMNLP | Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion. | Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Bill Wu, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist |
| 2024 | ICLR | Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. | Clment Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Sasha Abramowitz, Paul Duckworth, Vincent Coyette, Laurence Illing Midgley, Elshadai Tegegn, Tristan Kalloniatis, Omayma Mahjoub, Matthew Macfarlane, Andries P. Smit, Nathan Grinsztajn, Raphal Boige, Cemlyn N. Waters, Mohamed A. Mimouni, Ulrich A. Mbou Sob, Ruan de Kock, Siddarth Singh, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre |
| 2024 | ICML | Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs. | Andries P. Smit, Nathan Grinsztajn, Paul Duckworth, Thomas D. Barrett, Arnu Pretorius |
| 2022 | IJCNN | Meta-learning from Learning Curves: Challenge Design and Baseline Results. | Manh Hung Nguyen, Lisheng Sun-Hosoya, Nathan Grinsztajn, Isabelle Guyon |
| 2021 | CLUSTER | READYS: A Reinforcement Learning Based Strategy for Heterogeneous Dynamic Scheduling. | Nathan Grinsztajn, Olivier Beaumont, Emmanuel Jeannot, Philippe Preux |