Neel Kant

According to our database, Neel Kant authored at least 9 papers between 2018 and 2024.

Collaborative distances:

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

2024

Polaris: A Safety-focused LLM Constellation Architecture for Healthcare.

Subhabrata Mukherjee, Paul Gamble, Markel Sanz Ausin, Neel Kant, Kriti Aggarwal, Neha Manjunath, Debajyoti Datta, Zhengliang Liu, Jiayuan Ding, Sophia Busacca, Cezanne Bianco, Swapnil Sharma, Rae Lasko, Michelle Voisard, Sanchay Harneja, Darya Filippova, Gerry Meixiong, Kevin Cha, Amir Youssefi, Meyhaa Buvanesh, Howard Weingram, Sebastian Bierman-Lytle, Harpreet Singh Mangat, Kim Parikh, Saad Godil, Alex Miller

CoRR, 2024

2023

HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM.

Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev

CoRR, 2023

2022

The Road to General Intelligence, 2

Jerry Swan, Eric Nivel, Neel Kant, Jules Hedges, Timothy Atkinson, Bas R. Steunebrink

Studies in Computational Intelligence 1049, Springer, ISBN: 978-3-031-08019-7, 2022

2021

PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning.

Rajarshi Roy, Jonathan Raiman, Neel Kant, Ilyas Elkin, Robert Kirby, Michael Y. Siu, Stuart F. Oberman, Saad Godil, Bryan Catanzaro

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

End-to-End Training of Neural Retrievers for Open-Domain Question Answering.

Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Adversarial Policies: Attacking Deep Reinforcement Learning.

Adam Gleave, Michael Dennis, Cody Wild, Neel Kant, Sergey Levine, Stuart Russell

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Synthetic Datasets for Neural Program Synthesis.

Richard Shin, Neel Kant, Kavi Gupta, Chris Bender, Brandon Trabucco, Rishabh Singh, Dawn Song

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

2018

Practical Text Classification With Large Pre-Trained Language Models.

Neel Kant, Raul Puri, Nikolai Yakovenko, Bryan Catanzaro

CoRR, 2018

Recent Advances in Neural Program Synthesis.

Neel Kant

CoRR, 2018