| VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning R Awasthi, KK Guliani, SA Khan, A Vashishtha, M Singh Gill, A Bhatt, ... Intelligence Based Medicine, 2020 | 25 | 2020 |
| Causal inference using llm-guided discovery A Vashishtha, AG Reddy, A Kumar, S Bachu, VN Balasubramanian, ... arXiv preprint arXiv:2310.15117, 2023 | 11 | 2023 |
| Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study H Chopra*, A Vashishtha*, R Pal, A Ashima, A Tyagi, T Sethi JMIR infodemiology 3 (1), e34315, 2023 | 11* | 2023 |
| On evaluating and mitigating gender biases in multilingual settings A Vashishtha*, K Ahuja*, S Sitaram arXiv preprint arXiv:2307.01503, 2023 | 6 | 2023 |
| Vaccination Worldwide: Strategies, Distribution and Challenges C Samal, K Jakimowicz, K Dasgupta, A Vashishtha, A Natarajan, H Nazir, ... arXiv preprint arXiv:2107.14139, 2021 | 3 | 2021 |
| Performance and Risk Trade-offs for Multi-word Text Prediction at Scale A Vashishtha, SS Prasad, P Bajaj, V Chaudhary, K Cook, S Dandapat, ... Findings of the Association for Computational Linguistics: EACL 2023, 2226-2242, 2023 | 2 | 2023 |
Amit SharmaPrincipal Researcher, Microsoft Research在 cornell.edu 的电子邮件经过验证
