| 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 | 6995 | 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 | 450 | 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 | 251 | 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 | 235 | 2018 |
| Bootstrapping a neural conversational agent with dialogue self-play, crowdsourcing and on-line reinforcement learning P Shah, D Hakkani-Tur, B Liu, G Tur Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 206 | 2018 |
| Memory grounded conversational reasoning and question answering for assistant systems S Moon, PP Shah, A Kumar, R Subba US Patent 11,657,094, 2023 | 156 | 2023 |
| Recommendation as a communication game: Self-supervised bot-play for goal-oriented dialogue D Kang, A Balakrishnan, P Shah, PA Crook, YL Boureau, J Weston Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 140 | 2019 |
| 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 | 74 | 2018 |
| 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 | 74 | 2017 |
| 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 | 71 | 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 | 66 | 2015 |
| 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 | 59 | 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 | 57 | 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 | 55 | 2020 |
| Conversational reasoning with knowledge graph paths for assistant systems S Moon, PP Shah, A Kumar, R Subba US Patent 11,442,992, 2022 | 54 | 2022 |
| Turn-based reinforcement learning for dialog management P Shah, LP Heck, D Hakkani-Tur US Patent 10,424,302, 2019 | 42 | 2019 |
| Interpretability of deep reinforcement learning models in assistant systems LIU Honglei, PP Shah, LI Wenxuan, W Yang, A Kumar US Patent 11,715,042, 2023 | 22 | 2023 |
| Presto: A multilingual dataset for parsing realistic task-oriented dialogs R Goel, W Ammar, A Gupta, S Vashishtha, M Sano, F Surani, M Chang, ... Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 19 | 2023 |
| 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 | 18 | 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 | 17 | 2019 |
Dilek Hakkani-TürProfessor of Computer Science, Univ. Illinois Urbana-ChampaignVerified email at ieee.org
