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ORCIDOleksandr Polozov
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2020 – today
- 2024
[i19]Yeming Wen, Pengcheng Yin, Kensen Shi, Henryk Michalewski, Swarat Chaudhuri, Alex Polozov:
Grounding Data Science Code Generation with Input-Output Specifications. CoRR abs/2402.08073 (2024)- 2023
- [j4]Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel:
PaLM: Scaling Language Modeling with Pathways. J. Mach. Learn. Res. 24: 240:1-240:113 (2023) - [c18]Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Oleksandr Polozov, Charles Sutton:
Natural Language to Code Generation in Interactive Data Science Notebooks. ACL (1) 2023: 126-173 - [c17]Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao:
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions. ICLR 2023 - 2022
- [c16]Gabriel Poesia, Alex Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, Sumit Gulwani:
Synchromesh: Reliable Code Generation from Pre-trained Language Models. ICLR 2022 - [i18]Gabriel Poesia, Oleksandr Polozov, Vu Le, Ashish Tiwari, Gustavo Soares, Christopher Meek, Sumit Gulwani:
Synchromesh: Reliable code generation from pre-trained language models. CoRR abs/2201.11227 (2022) - [i17]Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel:
PaLM: Scaling Language Modeling with Pathways. CoRR abs/2204.02311 (2022) - [i16]Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Oleksandr Polozov, Christopher Meek, Dragomir R. Radev, Jianfeng Gao:
Learning from Self-Sampled Correct and Partially-Correct Programs. CoRR abs/2205.14318 (2022) - [i15]Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Alex Polozov, Charles Sutton:
Natural Language to Code Generation in Interactive Data Science Notebooks. CoRR abs/2212.09248 (2022) - 2021
- [j3]Swarat Chaudhuri, Kevin Ellis, Oleksandr Polozov, Rishabh Singh, Armando Solar-Lezama
, Yisong Yue:
Neurosymbolic Programming. Found. Trends Program. Lang. 7(3): 158-243 (2021) - [c15]Chia-Hsuan Lee, Oleksandr Polozov, Matthew Richardson:
KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers. ACL/IJCNLP (1) 2021: 2261-2273 - [c14]Tao Yu, Rui Zhang, Alex Polozov, Christopher Meek, Ahmed Hassan Awadallah:
SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing. ICLR 2021 - [c13]Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson:
Structure-Grounded Pretraining for Text-to-SQL. NAACL-HLT 2021: 1337-1350 - [c12]Tal Schuster, Ashwin Kalyan, Alex Polozov, Adam Kalai:
Programming Puzzles. NeurIPS Datasets and Benchmarks 2021 - [i14]Tal Schuster, Ashwin Kalyan, Oleksandr Polozov, Adam Tauman Kalai:
Programming Puzzles. CoRR abs/2106.05784 (2021) - [i13]Chia-Hsuan Lee, Oleksandr Polozov, Matthew Richardson:
KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers. CoRR abs/2106.11455 (2021) - 2020
- [c11]Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, Matthew Richardson:
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. ACL 2020: 7567-7578 - [c10]Shashank Srivastava, Oleksandr Polozov, Nebojsa Jojic, Christopher Meek:
Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context. ACL 2020: 7652-7662 - [c9]Saeed Amizadeh, Hamid Palangi, Alex Polozov, Yichen Huang, Kazuhito Koishida:
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning". ICML 2020: 279-290 - [i12]Saeed Amizadeh, Hamid Palangi, Oleksandr Polozov, Yichen Huang, Kazuhito Koishida:
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning". CoRR abs/2006.11524 (2020) - [i11]Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson:
Structure-Grounded Pretraining for Text-to-SQL. CoRR abs/2010.12773 (2020)
2010 – 2019
- 2019
- [c8]Marc Brockschmidt, Miltiadis Allamanis, Alexander L. Gaunt, Oleksandr Polozov:
Generative Code Modeling with Graphs. ICLR (Poster) 2019 - [c7]Eui Chul Richard Shin, Miltiadis Allamanis, Marc Brockschmidt, Alex Polozov:
Program Synthesis and Semantic Parsing with Learned Code Idioms. NeurIPS 2019: 10824-10834 - [i10]Vincent J. Hellendoorn, Premkumar T. Devanbu, Oleksandr Polozov, Mark Marron:
Are My Invariants Valid? A Learning Approach. CoRR abs/1903.06089 (2019) - [i9]Richard Shin, Miltiadis Allamanis, Marc Brockschmidt, Oleksandr Polozov:
Program Synthesis and Semantic Parsing with Learned Code Idioms. CoRR abs/1906.10816 (2019) - [i8]Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, Matthew Richardson:
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. CoRR abs/1911.04942 (2019) - 2018
- [j2]Saswat Padhi, Prateek Jain, Daniel Perelman, Oleksandr Polozov, Sumit Gulwani, Todd D. Millstein:
FlashProfile: a framework for synthesizing data profiles. Proc. ACM Program. Lang. 2(OOPSLA): 150:1-150:28 (2018) - [c6]Ashwin Kalyan, Abhishek Mohta, Oleksandr Polozov, Dhruv Batra, Prateek Jain, Sumit Gulwani:
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples. ICLR (Poster) 2018 - [i7]Ashwin J. Vijayakumar, Abhishek Mohta, Oleksandr Polozov, Dhruv Batra, Prateek Jain, Sumit Gulwani:
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples. CoRR abs/1804.01186 (2018) - [i6]Marc Brockschmidt, Miltiadis Allamanis, Alexander L. Gaunt, Oleksandr Polozov:
Generative Code Modeling with Graphs. CoRR abs/1805.08490 (2018) - [i5]Chenglong Wang, Po-Sen Huang, Alex Polozov, Marc Brockschmidt, Rishabh Singh:
Execution-Guided Neural Program Decoding. CoRR abs/1807.03100 (2018) - [i4]Tianze Shi, Kedar Tatwawadi, Kaushik Chakrabarti, Yi Mao, Oleksandr Polozov, Weizhu Chen:
IncSQL: Training Incremental Text-to-SQL Parsers with Non-Deterministic Oracles. CoRR abs/1809.05054 (2018) - 2017
- [j1]Sumit Gulwani, Oleksandr Polozov, Rishabh Singh:
Program Synthesis. Found. Trends Program. Lang. 4(1-2): 1-119 (2017) - [c5]Reudismam Rolim, Gustavo Soares, Loris D'Antoni, Oleksandr Polozov, Sumit Gulwani, Rohit Gheyi, Ryo Suzuki, Björn Hartmann:
Learning syntactic program transformations from examples. ICSE 2017: 404-415 - [i3]Vu Le, Daniel Perelman, Oleksandr Polozov, Mohammad Raza, Abhishek Udupa, Sumit Gulwani:
Interactive Program Synthesis. CoRR abs/1703.03539 (2017) - [i2]Saswat Padhi, Prateek Jain, Daniel Perelman, Oleksandr Polozov, Sumit Gulwani, Todd D. Millstein:
FlashProfile: Interactive Synthesis of Syntactic Profiles. CoRR abs/1709.05725 (2017) - 2016
- [i1]Reudismam Rolim de Sousa, Gustavo Soares, Loris D'Antoni, Oleksandr Polozov, Sumit Gulwani, Rohit Gheyi, Ryo Suzuki, Bjoern Hartmann:
Learning Syntactic Program Transformations from Examples. CoRR abs/1608.09000 (2016) - 2015
- [c4]Oleksandr Polozov, Eleanor O'Rourke, Adam M. Smith, Luke Zettlemoyer, Sumit Gulwani, Zoran Popovic:
Personalized Mathematical Word Problem Generation. IJCAI 2015: 381-388 - [c3]Oleksandr Polozov, Sumit Gulwani:
FlashMeta: a framework for inductive program synthesis. OOPSLA 2015: 107-126 - [c2]Mikaël Mayer, Gustavo Soares, Maxim Grechkin, Vu Le, Mark Marron, Oleksandr Polozov, Rishabh Singh, Benjamin G. Zorn, Sumit Gulwani:
User Interaction Models for Disambiguation in Programming by Example. UIST 2015: 291-301 - 2014
- [c1]Oleksandr Polozov, Sumit Gulwani:
LaSEWeb: automating search strategies over semi-structured web data. KDD 2014: 741-750
Coauthor Index
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last updated on 2024-09-13 01:42 CEST by the dblp team
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