Neel Kant - RankMe

15 papers A* 2Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Develop AI Agents for System Engineering in Factorio. CoRR Neel Kant
2024	—	`conf`	HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. NAACL-HLT Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev
2024	J	`jnl`	Polaris: A Safety-focused LLM Constellation Architecture for Healthcare. CoRR 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
2023	J	`jnl`	HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. CoRR Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev
2022	J	`jnl`	PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning. CoRR Rajarshi Roy, Jonathan Raiman, Neel Kant, Ilyas Elkin, Robert Kirby, Michael Y. Siu, Stuart F. Oberman, Saad Godil, Bryan Catanzaro
2022	—	`book`	The Road to General Intelligence, 2 Jerry Swan, Eric Nivel, Neel Kant, Jules Hedges, Timothy Atkinson, Bas R. Steunebrink
2021	—	`conf`	End-to-End Training of Neural Retrievers for Open-Domain Question Answering. ACL/IJCNLP (1) Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro
2021	J	`jnl`	End-to-End Training of Neural Retrievers for Open-Domain Question Answering. CoRR Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro
2021	A*	`conf`	PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning. DAC Rajarshi Roy, Jonathan Raiman, Neel Kant, Ilyas Elkin, Robert Kirby, Michael Y. Siu, Stuart F. Oberman, Saad Godil, Bryan Catanzaro
2020	A*	`conf`	Adversarial Policies: Attacking Deep Reinforcement Learning. ICLR Adam Gleave, Michael Dennis, Cody Wild, Neel Kant, Sergey Levine, Stuart Russell
2019	J	`jnl`	Adversarial Policies: Attacking Deep Reinforcement Learning. CoRR Adam Gleave, Michael Dennis, Neel Kant, Cody Wild, Sergey Levine, Stuart Russell
2019	—	`conf`	Synthetic Datasets for Neural Program Synthesis. ICLR (Poster) Richard Shin, Neel Kant, Kavi Gupta, Chris Bender, Brandon Trabucco, Rishabh Singh, Dawn Song
2019	J	`jnl`	Synthetic Datasets for Neural Program Synthesis. CoRR Richard Shin, Neel Kant, Kavi Gupta, Christopher Bender, Brandon Trabucco, Rishabh Singh, Dawn Song
2018	J	`jnl`	Practical Text Classification With Large Pre-Trained Language Models. CoRR Neel Kant, Raul Puri, Nikolai Yakovenko, Bryan Catanzaro
2018	J	`jnl`	Recent Advances in Neural Program Synthesis. CoRR Neel Kant