| PaLM: Scaling language modeling with Pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... arXiv preprint arXiv:2204.02311, 2022 | 5645 | 2022 |
| 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 | 2464 | 2023 |
| PaLM 2 Technical Report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 1557 | 2023 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 972 | 2024 |
| Program synthesis S Gulwani, O Polozov, R Singh Foundations and Trends® in Programming Languages 4 (1-2), 1-119, 2017 | 786 | 2017 |
| RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers B Wang, R Shin, X Liu, O Polozov, M Richardson Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 597 | 2020 |
| FlashMeta: A framework for inductive program synthesis O Polozov, S Gulwani ACM SIGPLAN Notices 50 (10), 107-126, 2015 | 405 | 2015 |
| Learning syntactic program transformations from examples R Rolim, G Soares, L D'Antoni, O Polozov, S Gulwani, R Gheyi, R Suzuki, ... 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE …, 2017 | 292 | 2017 |
| Synchromesh: Reliable code generation from pre-trained language models G Poesia, O Polozov, V Le, A Tiwari, G Soares, C Meek, S Gulwani arXiv preprint arXiv:2201.11227, 2022 | 231 | 2022 |
| Generative code modeling with graphs M Brockschmidt, M Allamanis, AL Gaunt, O Polozov International Conference on Learning Representations, 2019 | 216 | 2019 |
| Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples A Kalyan, A Mohta, O Polozov, D Batra, P Jain, S Gulwani International Conference on Learning Representations, 2018 | 191 | 2018 |
| Robust text-to-SQL generation with execution-guided decoding C Wang, K Tatwawadi, M Brockschmidt, PS Huang, Y Mao, O Polozov, ... arXiv preprint arXiv:1807.03100, 2018 | 161* | 2018 |
| Structure-grounded pretraining for text-to-SQL X Deng, AH Awadallah, C Meek, O Polozov, H Sun, M Richardson arXiv preprint arXiv:2010.12773, 2020 | 144 | 2020 |
| Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning" S Amizadeh, H Palangi, O Polozov, Y Huang, K Koishida International Conference on Machine Learning, 279-290, 2020 | 118 | 2020 |
| User interaction models for disambiguation in programming by example M Mayer, G Soares, M Grechkin, V Le, M Marron, O Polozov, R Singh, ... Proceedings of the 28th Annual ACM Symposium on User Interface Software …, 2015 | 118 | 2015 |
| Neurosymbolic programming S Chaudhuri, K Ellis, O Polozov, R Singh, A Solar-Lezama, Y Yue Foundations and Trends® in Programming Languages 7 (3), 158-243, 2021 | 113 | 2021 |
| Program Synthesis and Semantic Parsing with Learned Code Idioms R Shin, M Allamanis, M Brockschmidt, O Polozov Neural Information Processing Systems, 2019 | 104* | 2019 |
| Personalized mathematical word problem generation O Polozov, E O'Rourke, AM Smith, L Zettlemoyer, S Gulwani, Z Popović Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 99 | 2015 |
| KaggleDBQA: Realistic evaluation of text-to-SQL parsers CH Lee, O Polozov, M Richardson arXiv preprint arXiv:2106.11455, 2021 | 93 | 2021 |
| SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing T Yu, R Zhang, O Polozov, C Meek, AH Awadallah International Conference on Learning Representations, 2021 | 78 | 2021 |
Sumit GulwaniDistinguished Scientist, MicrosoftEmail verificata su microsoft.com
