| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 6355 | 2023 |
| Reinforced self-training (rest) for language modeling C Gulcehre, TL Paine, S Srinivasan, K Konyushkova, L Weerts, A Sharma, ... arXiv preprint arXiv:2308.08998, 2023 | 353 | 2023 |
| Systems and methods for named entity recognition GS Ramachandran, M Machado, S HARINATH, L ZHU, Y XUE, A Sharma, ... US Patent 11,436,481, 2022 | 45 | 2022 |
| Determining Intent from Unstructured Input to Update Heterogeneous Data Stores GS Ramachandran, S HARINATH, A Sharma, JM Soumet, M Machado, ... US Patent App. 16/134,959, 2020 | 41 | 2020 |
| Hotspots of news articles: Joint mining of news text & social media to discover controversial points in news I Lourentzou, G Dyer, A Sharma, CX Zhai 2015 IEEE International Conference on Big Data (Big Data), 2948-2950, 2015 | 11 | 2015 |
| Machine learning based named entity recognition for natural language processing J Liu, A Sharma, SS Barot, G Singh, M Gupta, SK Pentyala, A Chadha US Patent App. 17/202,183, 2022 | 6 | 2022 |
| Multi-lingual intent model with out-of-domain detection S Bhagavath, S Mehrotra, A Sharma, S HARINATH, N Cheng, Z LARAKI US Patent 12,019,984, 2024 | | 2024 |
| Generation of training data for machine learning based models for named entity recognition for natural language processing J Liu, A Sharma, SS Barot, G Singh, M Gupta, SK Pentyala, A Chadha US Patent 12,001,798, 2024 | | 2024 |