| Evaluating large language models trained on code M Chen, J Tworek, H Jun, Q Yuan, HPO Pinto, J Kaplan, H Edwards, ... arXiv preprint arXiv:2107.03374, 2021 | 1950 | 2021 |
| Megatron-lm: Training multi-billion parameter language models using model parallelism M Shoeybi, M Patwary, R Puri, P LeGresley, J Casper, B Catanzaro arXiv preprint arXiv:1909.08053, 2019 | 1269 | 2019 |
| Gpt-4 technical report J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023 | 719 | 2023 |
| Text and code embeddings by contrastive pre-training A Neelakantan, T Xu, R Puri, A Radford, JM Han, J Tworek, Q Yuan, ... arXiv preprint arXiv:2201.10005, 2022 | 221 | 2022 |
| Training question answering models from synthetic data R Puri, R Spring, M Patwary, M Shoeybi, B Catanzaro arXiv preprint arXiv:2002.09599, 2020 | 128 | 2020 |
| MEGATRON-CNTRL: Controllable story generation with external knowledge using large-scale language models P Xu, M Patwary, M Shoeybi, R Puri, P Fung, A Anandkumar, B Catanzaro arXiv preprint arXiv:2010.00840, 2020 | 122 | 2020 |
| BioMegatron: larger biomedical domain language model HC Shin, Y Zhang, E Bakhturina, R Puri, M Patwary, M Shoeybi, R Mani Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 112 | 2020 |
| Zero-shot text classification with generative language models R Puri, B Catanzaro arXiv preprint arXiv:1912.10165, 2019 | 85 | 2019 |
| Practical text classification with large pre-trained language models N Kant, R Puri, N Yakovenko, B Catanzaro arXiv preprint arXiv:1812.01207, 2018 | 67 | 2018 |
| Large scale language modeling: Converging on 40gb of text in four hours R Puri, R Kirby, N Yakovenko, B Catanzaro 2018 30th International Symposium on Computer Architecture and High …, 2018 | 25 | 2018 |
| Large scale multi-actor generative dialog modeling A Boyd, R Puri, M Shoeybi, M Patwary, B Catanzaro arXiv preprint arXiv:2005.06114, 2020 | 22 | 2020 |
| Megatron-lm: Training multi-billion parameter language models using model parallelism. arXiv 2019 M Shoeybi, M Patwary, R Puri, P LeGresley, J Casper, B Catanzaro arXiv preprint arXiv:1909.08053, 1909 | 21 | 1909 |
| Transferability of adversarial attacks in model-agnostic meta-learning R Edmunds, N Golmant, V Ramasesh, P Kuznetsov, P Patil, R Puri Deep Learning and Security Workshop (DLSW) in Singapore, 2017 | 13 | 2017 |
| Few shot learning for point cloud data using model agnostic meta learning R Puri, A Zakhor, R Puri 2020 IEEE International Conference on Image Processing (ICIP), 1906-1910, 2020 | 12 | 2020 |
| Local knowledge powered conversational agents S Santhanam, W Ping, R Puri, M Shoeybi, M Patwary, B Catanzaro arXiv preprint arXiv:2010.10150, 2020 | 4 | 2020 |
| Model agnostic contrastive explanations for structured data. CoRR abs/1906.00117 (2019) A Dhurandhar, T Pedapati, A Balakrishnan, P Chen, K Shanmugam, ... | 4 | 1906 |
| Frame rate upscaling with deep neural networks T Xiao, R Puri, G Kesineni Term Paper for CS294-129 Deep Neural Networks, Fall, 2016 | 3 | 2016 |
| Adversarial machine learning P Kuznetsov, R Edmunds, T Xiao, H Iqbal, R Puri, N Golmant, S Shih Artificial Intelligence Safety and Security, 235-248, 2018 | 2 | 2018 |
| Kontradyktoryjne uczenie maszynowe P Kuznetsov, R Edmunds, T Xiao, H Iqbal, R Puri, N Golmant, S Shih Napędy i Sterowanie 23 (7/8), 80-89, 2021 | | 2021 |
