Follow
Panupong Pasupat
Panupong Pasupat
Google
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
Retrieval augmented language model pre-training
K Guu, K Lee, Z Tung, P Pasupat, M Chang
International conference on machine learning, 3929-3938, 2020
19122020
Compositional semantic parsing on semi-structured tables
P Pasupat, P Liang
arXiv preprint arXiv:1508.00305, 2015
7492015
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
2122019
Rarr: Researching and revising what language models say, using language models
L Gao, Z Dai, P Pasupat, A Chen, AT Chaganty, Y Fan, VY Zhao, N Lao, ...
arXiv preprint arXiv:2210.08726, 2022
2112022
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
2092017
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
1922020
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
1902018
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
1282013
Simpler context-dependent logical forms via model projections
R Long, P Pasupat, P Liang
arXiv preprint arXiv:1606.05378, 2016
1052016
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
872013
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
762021
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
702021
Inferring logical forms from denotations
P Pasupat, P Liang
arXiv preprint arXiv:1606.06900, 2016
702016
Macro grammars and holistic triggering for efficient semantic parsing
Y Zhang, P Pasupat, P Liang
arXiv preprint arXiv:1707.07806, 2017
602017
From pixels to ui actions: Learning to follow instructions via graphical user interfaces
P Shaw, M Joshi, J Cohan, J Berant, P Pasupat, H Hu, U Khandelwal, ...
Advances in Neural Information Processing Systems 36, 34354-34370, 2023
582023
A Conversational Movie Search System Based on Conditional Random Fields.
J Liu, S Cyphers, P Pasupat, I McGraw, JR Glass
Interspeech, 2454-2457, 2012
572012
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
562021
Zero-shot entity extraction from web pages
P Pasupat, P Liang
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
562014
Evaluating the impact of model scale for compositional generalization in semantic parsing
L Qiu, P Shaw, P Pasupat, T Shi, J Herzig, E Pitler, F Sha, K Toutanova
arXiv preprint arXiv:2205.12253, 2022
532022
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
532015
The system can't perform the operation now. Try again later.
Articles 1–20