Pararth Shah
Cited by
Cited by
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
Opendialkg: Explainable conversational reasoning with attention-based walks over knowledge graphs
S Moon, P Shah, A Kumar, R Subba
Proceedings of the 57th annual meeting of the association for computational …, 2019
Building a conversational agent overnight with dialogue self-play
P Shah, D Hakkani-Tür, G Tür, A Rastogi, A Bapna, N Nayak, L Heck
arXiv preprint arXiv:1801.04871, 2018
Dialogue learning with human teaching and feedback in end-to-end trainable task-oriented dialogue systems
B Liu, G Tur, D Hakkani-Tur, P Shah, L Heck
arXiv preprint arXiv:1804.06512, 2018
Bootstrapping a neural conversational agent with dialogue self-play, crowdsourcing and on-line reinforcement learning
P Shah, D Hakkani-Tur, B Liu, G Tür
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
Recommendation as a communication game: Self-supervised bot-play for goal-oriented dialogue
D Kang, A Balakrishnan, P Shah, P Crook, YL Boureau, J Weston
arXiv preprint arXiv:1909.03922, 2019
Memory grounded conversational reasoning and question answering for assistant systems
S Moon, PP Shah, A Kumar, R Subba
US Patent 11,657,094, 2023
End-to-end optimization of task-oriented dialogue model with deep reinforcement learning
B Liu, G Tur, D Hakkani-Tur, P Shah, L Heck
arXiv preprint arXiv:1711.10712, 2017
User modeling for task oriented dialogues
I Gür, D Hakkani-Tür, G Tür, P Shah
2018 IEEE Spoken Language Technology Workshop (SLT), 900-906, 2018
Ringo: Interactive graph analytics on big-memory machines
Y Perez, R Sosič, A Banerjee, R Puttagunta, M Raison, P Shah, ...
Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015
Follownet: Robot navigation by following natural language directions with deep reinforcement learning
P Shah, M Fiser, A Faust, JC Kew, D Hakkani-Tur
arXiv preprint arXiv:1805.06150, 2018
Interactive reinforcement learning for task-oriented dialogue management
P Shah, D Hakkani-Tür, L Heck
NIPS 2016 Deep Learning for Action and Interaction Workshop 11, 2016
Federated control with hierarchical multi-agent deep reinforcement learning
S Kumar, P Shah, D Hakkani-Tur, L Heck
arXiv preprint arXiv:1712.08266, 2017
User memory reasoning for conversational recommendation
H Xu, S Moon, H Liu, B Liu, P Shah, PS Yu
arXiv preprint arXiv:2006.00184, 2020
Turn-based reinforcement learning for dialog management
P Shah, LP Heck, D Hakkani-Tur
US Patent 10,424,302, 2019
Conversational reasoning with knowledge graph paths for assistant systems
S Moon, PP Shah, A Kumar, R Subba
US Patent 11,442,992, 2022
Multi-action dialog policy learning with interactive human teaching
M Jhunjhunwala, C Bryant, P Shah
Proceedings of the 21th Annual Meeting of the Special Interest Group on …, 2020
Memory graph networks for explainable memory-grounded question answering
S Moon, P Shah, A Kumar, R Subba
Proceedings of the 23rd conference on computational natural language …, 2019
Presto: A multilingual dataset for parsing realistic task-oriented dialogs
R Goel, W Ammar, A Gupta, S Vashishtha, M Sano, F Surani, M Chang, ...
arXiv preprint arXiv:2303.08954, 2023
Answering Reading Comprehension Using Memory Networks
D Kapashi, P Shah
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