| 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 | 1611 | 2023 |
| Scaling autoregressive models for content-rich text-to-image generation J Yu, Y Xu, JY Koh, T Luong, G Baid, Z Wang, V Vasudevan, A Ku, Y Yang, ... arXiv preprint arXiv:2206.10789 2 (3), 5, 2022 | 899 | 2022 |
| PAWS: Paraphrase adversaries from word scrambling Y Zhang, J Baldridge, L He https://www.aclweb.org/anthology/N19-1131/, 2019 | 523 | 2019 |
| Twitter polarity classification with label propagation over lexical links and the follower graph M Speriosu, N Sudan, S Upadhyay, J Baldridge Proceedings of the First workshop on Unsupervised Learning in NLP, 53-63, 2011 | 504 | 2011 |
| Combinatory categorial grammar M Steedman, J Baldridge Non‐Transformational Syntax: Formal and Explicit Models of Grammar, 181-224, 2011 | 472 | 2011 |
| Cross-modal contrastive learning for text-to-image generation H Zhang, JY Koh, J Baldridge, H Lee, Y Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 365 | 2021 |
| PAWS-X: A cross-lingual adversarial dataset for paraphrase identification Y Yang, Y Zhang, C Tar, J Baldridge https://www.aclweb.org/anthology/D19-1382/, 2019 | 345 | 2019 |
| Vector-quantized image modeling with improved vqgan J Yu, X Li, JY Koh, H Zhang, R Pang, J Qin, A Ku, Y Xu, J Baldridge, Y Wu arXiv preprint arXiv:2110.04627, 2021 | 336 | 2021 |
| Mind the GAP: A balanced corpus of gendered ambiguous pronouns K Webster, M Recasens, V Axelrod, J Baldridge Transactions of the Association for Computational Linguistics 6, 605-617, 2018 | 326 | 2018 |
| Simple supervised document geolocation with geodesic grids B Wing, J Baldridge Proceedings of the 49th annual meeting of the association for computational …, 2011 | 312 | 2011 |
| Supervised text-based geolocation using language models on an adaptive grid S Roller, M Speriosu, S Rallapalli, B Wing, J Baldridge Proceedings of the 2012 joint conference on empirical methods in natural …, 2012 | 299 | 2012 |
| Room-across-room: Multilingual vision-and-language navigation with dense spatiotemporal grounding A Ku, P Anderson, R Patel, E Ie, J Baldridge arXiv preprint arXiv:2010.07954, 2020 | 264 | 2020 |
| Lexically specified derivational control in Combinatory Categorial Grammar J Baldridge University of Edinburgh. College of Science and Engineering. School of …, 2002 | 237 | 2002 |
| Learning dense representations for entity retrieval D Gillick, S Kulkarni, L Lansing, A Presta, J Baldridge, E Ie, ... https://www.aclweb.org/anthology/K19-1049/, 2019 | 232 | 2019 |
| Joint determination of anaphoricity and coreference resolution using integer programming P Denis, J Baldridge Human Language Technologies 2007: The Conference of the North American …, 2007 | 222 | 2007 |
| Specialized models and ranking for coreference resolution P Denis, J Baldridge Proceedings of the 2008 conference on empirical methods in natural language …, 2008 | 193 | 2008 |
| Multi-modal combinatory categorial grammar J Baldridge, GJM Kruijff 10th Conference of the European Chapter of the Association for Computational …, 2003 | 183 | 2003 |
| Stay on the path: Instruction fidelity in vision-and-language navigation V Jain, G Magalhaes, A Ku, A Vaswani, E Ie, J Baldridge https://www.aclweb.org/anthology/P19-1181/, 2019 | 173 | 2019 |
| Mapping Natural Language Instructions to Mobile UI Action Sequences Y Li, J He, X Zhou, Y Zhang, J Baldridge https://www.aclweb.org/anthology/2020.acl-main.729/, 2020 | 162 | 2020 |
| The opennlp project J Baldridge URL: http://opennlp. apache. org/index. html,(accessed 2 February 2012) 1, 2005 | 162 | 2005 |
Alexander KuGoogle DeepMind, Princeton UniversityVerified email at princeton.edu
