Recent Advances in Neural Program Synthesis. - Neel Kant (CoRR, 2018)

Practical Text Classification With Large Pre-Trained Language Models. - Neel Kant; Raul Puri; Nikolai Yakovenko; Bryan Catanzaro (CoRR, 2018)

Synthetic Datasets for Neural Program Synthesis. - Richard Shin; Neel Kant; Kavi Gupta; Chris Bender; Brandon Trabucco; Rishabh Singh; Dawn Song (ICLR (Poster), 2019)

Adversarial Policies: Attacking Deep Reinforcement Learning. - Adam Gleave; Michael Dennis 001; Cody Wild; Neel Kant; Sergey Levine; Stuart Russell 001 (ICLR, 2020)

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 (ACL/IJCNLP (1), 2021)

PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning. - Rajarshi Roy 003; Jonathan Raiman; Neel Kant; Ilyas Elkin; Robert Kirby 001; Michael Y. Siu; Stuart F. Oberman; Saad Godil; Bryan Catanzaro (DAC, 2021)

The Road to General Intelligence, 2 - Jerry Swan; Eric Nivel; Neel Kant; Jules Hedges; Timothy Atkinson 001; Bas R. Steunebrink (Springer, 2022)

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 (NAACL-HLT, 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; et al. (CoRR, 2024)

Develop AI Agents for System Engineering in Factorio. - Neel Kant (CoRR, 2025)