| Retrieval augmented language model pre-training K Guu, K Lee, Z Tung, P Pasupat, M Chang International conference on machine learning, 3929-3938, 2020 | 1069 | 2020 |
| Compositional semantic parsing on semi-structured tables P Pasupat, P Liang arXiv preprint arXiv:1508.00305, 2015 | 562 | 2015 |
| From language to programs: Bridging reinforcement learning and maximum marginal likelihood K Guu, P Pasupat, EZ Liu, P Liang arXiv preprint arXiv:1704.07926, 2017 | 200 | 2017 |
| Compositional generalization and natural language variation: Can a semantic parsing approach handle both? P Shaw, MW Chang, P Pasupat, K Toutanova arXiv preprint arXiv:2010.12725, 2020 | 138 | 2020 |
| Spoc: Search-based pseudocode to code S Kulal, P Pasupat, K Chandra, M Lee, O Padon, A Aiken, PS Liang Advances in Neural Information Processing Systems 32, 2019 | 110 | 2019 |
| Simpler context-dependent logical forms via model projections R Long, P Pasupat, P Liang arXiv preprint arXiv:1606.05378, 2016 | 96 | 2016 |
| Asgard: A portable architecture for multilingual dialogue systems J Liu, P Pasupat, S Cyphers, J Glass 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 93 | 2013 |
| Reinforcement learning on web interfaces using workflow-guided exploration EZ Liu, K Guu, P Pasupat, T Shi, P Liang arXiv preprint arXiv:1802.08802, 2018 | 84 | 2018 |
| Query understanding enhanced by hierarchical parsing structures J Liu, P Pasupat, Y Wang, S Cyphers, J Glass 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 72-77, 2013 | 70 | 2013 |
| Inferring logical forms from denotations P Pasupat, P Liang arXiv preprint arXiv:1606.06900, 2016 | 67 | 2016 |
| Unlocking compositional generalization in pre-trained models using intermediate representations J Herzig, P Shaw, MW Chang, K Guu, P Pasupat, Y Zhang arXiv preprint arXiv:2104.07478, 2021 | 57 | 2021 |
| Zero-shot entity extraction from web pages P Pasupat, P Liang Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 56 | 2014 |
| Macro grammars and holistic triggering for efficient semantic parsing Y Zhang, P Pasupat, P Liang arXiv preprint arXiv:1707.07806, 2017 | 53 | 2017 |
| A conversational movie search system based on conditional random fields J Liu, S Cyphers, P Pasupat, I McGraw, J Glass Thirteenth Annual Conference of the International Speech Communication …, 2012 | 52 | 2012 |
| Enriching word embeddings using knowledge graph for semantic tagging in conversational dialog systems A Celikyilmaz, D Hakkani-Tur, P Pasupat, R Sarikaya 2015 AAAI Spring Symposium Series, 2015 | 51 | 2015 |
| Few-shot intent classification and slot filling with retrieved examples D Yu, L He, Y Zhang, X Du, P Pasupat, Q Li arXiv preprint arXiv:2104.05763, 2021 | 44 | 2021 |
| Bootstrapped Self Training for Knowledge Base Population. G Angeli, V Zhong, D Chen, AT Chaganty, J Bolton, MJJ Premkumar, ... TAC, 2015 | 44 | 2015 |
| Improving compositional generalization with latent structure and data augmentation L Qiu, P Shaw, P Pasupat, PK Nowak, T Linzen, F Sha, K Toutanova arXiv preprint arXiv:2112.07610, 2021 | 43 | 2021 |
| Rarr: Researching and revising what language models say, using language models L Gao, Z Dai, P Pasupat, A Chen, AT Chaganty, Y Fan, V Zhao, N Lao, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 41 | 2023 |
| Controllable semantic parsing via retrieval augmentation P Pasupat, Y Zhang, K Guu arXiv preprint arXiv:2110.08458, 2021 | 34 | 2021 |
Kelvin GuuSenior Staff Research Scientist, GoogleZweryfikowany adres z google.com
