| Gemini: A Family of Highly Capable Multimodal Models G Team Gemini arXiv preprint arXiv:2312.11805, 2023 | 2089 | 2023 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team Gemini arXiv preprint arXiv:2403.05530, 2024 | 552 | 2024 |
| A computational cognitive model of syntactic priming D Reitter, F Keller, JD Moore Cognitive Science 35 (4), 587-637, 2011 | 359 | 2011 |
| Alignment and task success in spoken dialogue D Reitter, JD Moore Journal of Memory and Language 76, 29-46, 2014 | 220 | 2014 |
| Fusion of detected objects in text for visual question answering C Alberti, J Ling, M Collins, D Reitter Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 215 | 2019 |
| Predicting success in dialogue D Reitter, JD Moore 45th Annual Meeting of the Association of Computational Linguistics (ACL …, 2007 | 172 | 2007 |
| Priming of syntactic rules in task-oriented dialogue and spontaneous conversation D Reitter, JD Moore, F Keller 28th Annual Conference of the Cognitive Science Society (CogSci), 685-690, 2006 | 170 | 2006 |
| Measuring attribution in natural language generation models H Rashkin, V Nikolaev, M Lamm, L Aroyo, M Collins, D Das, S Petrov, ... Computational Linguistics 49 (4), 777-840, 2023 | 136 | 2023 |
| Computational modelling of structural priming in dialogue D Reitter, F Keller, JD Moore Proceedings of the Human Language Technology Conference - North American …, 2006 | 129 | 2006 |
| Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features H Rashkin, D Reitter, GS Tomar, D Das 59th Annual Meeting of the Association for Computational Linguistics, 704-718, 2021 | 113 | 2021 |
| Evaluating attribution in dialogue systems: The BEGIN benchmark N Dziri, H Rashkin, T Linzen, D Reitter Transactions of the Association for Computational Linguistics 10, 1066-1083, 2022 | 93* | 2022 |
| Learning Simpler Language Models with the Differential State Framework AG Ororbia II, T Mikolov, D Reitter Neural Computation 9 (12), 3327-3352, 2017 | 79 | 2017 |
| Integrated, not isolated: Defining typological proximity in an integrated multilingual architecture MT Putnam, M Carlson, D Reitter Frontiers in Psychology 8 (2212), 2018 | 71 | 2018 |
| CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning Z Wu, Y Luan, H Rashkin, D Reitter, GS Tomar EMNLP 2022, 2022 | 62 | 2022 |
| Simple signals for complex rhetorics: On rhetorical analysis with rich-feature support vector models D Reitter Journal for Language Technology and Computational Linguistics 18 (1), 38-52, 2003 | 59 | 2003 |
| Step by step: underspecified markup in incremental rhetorical analysis D Reitter, M Stede Proceedings of 4th International Workshop on Linguistically Interpreted …, 2003 | 58 | 2003 |
| Accountable modeling in ACT-UP, a scalable, rapid-prototyping ACT-R implementation D Reitter, C Lebiere Proceedings of the 10th international conference on cognitive modeling, 199-204, 2010 | 53 | 2010 |
| UI on the fly: Generating a multimodal user interface D Reitter, E Panttaja, F Cummins Proceedings of HLT-NAACL 2004: Short Papers, 45-48, 2004 | 49 | 2004 |
| Information density converges in dialogue: Towards an information-theoretic model Y Xu, D Reitter Cognition 170, 147-163, 2018 | 45 | 2018 |
| The Embra system at DUC 2005: Query-oriented multi-document summarization with a very large latent semantic space B Hachey, G Murray, D Reitter Proceedings of the Document Understanding Conference (DUC) 2005, Vancouver …, 2005 | 43 | 2005 |
Johanna MooreProfessor of Artificial Intelligence and Head of School of Informatics, University of Edinburghed.ac.uk의 이메일 확인됨