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 | 2249 | 2023 |
Transition-based dependency parsing with stack long short-term memory C Dyer, M Ballesteros, W Ling, A Matthews, NA Smith arXiv preprint arXiv:1505.08075, 2015 | 1043 | 2015 |
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 724 | 2024 |
Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017 | 451* | 2017 |
Phonotactic reconstruction of encrypted voip conversations: Hookt on fon-iks AM White, AR Matthews, KZ Snow, F Monrose 2011 IEEE Symposium on Security and Privacy, 3-18, 2011 | 189 | 2011 |
XNMT: The extensible neural machine translation toolkit G Neubig, M Sperber, X Wang, M Felix, A Matthews, S Padmanabhan, ... arXiv preprint arXiv:1803.00188, 2018 | 77 | 2018 |
Using morphological knowledge in open-vocabulary neural language models A Matthews, G Neubig, C Dyer Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 27 | 2018 |
The CMU machine translation systems at WMT 2013: Syntax, synthetic translation options, and pseudo-references W Ammar, V Chahuneau, M Denkowski, G Hanneman, W Ling, ... Proceedings of the Eighth Workshop on Statistical Machine Translation, 70-77, 2013 | 22 | 2013 |
The CMU Machine Translation Systems at WMT 2014 A Matthews, A Waleed, A Bhatia, W Feely, G Hanneman, E Schlinger, ... Proceedings of the Ninth Workshop on Statistical Machine Translation, 142-149, 2014 | 12 | 2014 |
Synthesizing compound words for machine translation A Matthews, E Schlinger, A Lavie, C Dyer Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 11 | 2016 |
The ariel-cmu systems for lorehlt18 A Chaudhary, S Dalmia, J Hu, X Li, A Matthews, AO Muis, N Otani, ... arXiv preprint arXiv:1902.08899, 2019 | 10 | 2019 |
Comparing top-down and bottom-up neural generative dependency models A Matthews, G Neubig, C Dyer Proceedings of the 23rd Conference on Computational Natural Language …, 2019 | 1 | 2019 |
Linguistic Knowledge for Neural Language Generation and Machine Translation A Matthews Carnegie Mellon University, 2019 | 1 | 2019 |
Enabling arbitrary translation objectives with Adaptive Tree Search W Ling, W Stokowiec, D Donato, L Sartran, L Yu, A Matthews, C Dyer arXiv preprint arXiv:2202.11444, 2022 | | 2022 |
Tree Transduction Tools for cdec A Matthews, P Baltescu, P Blunsom, A Lavie, C Dyer Prague Bulletin of Mathematical Linguistics 102 (1), 2014 | | 2014 |