| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 568 | 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 | 84 | 2023 |
| Systems and methods for named entity recognition GS Ramachandran, M Machado, S Harinath, ZHU Linwei, XUE Yufan, ... US Patent 11,436,481, 2022 | 38 | 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 | 34 | 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 |
| 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 App. 17/202,188, 2022 | 3 | 2022 |
| 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 | 1 | 2022 |
| Multi-lingual intent model with out-of-domain detection S Bhagavath, S Mehrotra, A Sharma, S Harinath, N Cheng, Z Laraki US Patent App. 17/479,748, 2023 | | 2023 |
Tom Le PaineStaff Research Scientist at Google DeepMindVerified email at google.com
