| PAWS: Paraphrase adversaries from word scrambling Y Zhang, J Baldridge, L He arXiv preprint arXiv:1904.01130, 2019 | 494 | 2019 |
| PAWS-X: A cross-lingual adversarial dataset for paraphrase identification Y Yang, Y Zhang, C Tar, J Baldridge arXiv preprint arXiv:1908.11828, 2019 | 324 | 2019 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 196 | 2024 |
| Mapping natural language instructions to mobile UI action sequences Y Li, J He, X Zhou, Y Zhang, J Baldridge arXiv preprint arXiv:2005.03776, 2020 | 139 | 2020 |
| Quantitative study of individual emotional states in social networks J Tang, Y Zhang, J Sun, J Rao, W Yu, Y Chen, ACM Fong IEEE Transactions on Affective Computing 3 (2), 132-144, 2011 | 134 | 2011 |
| Ten pairs to tag-multilingual POS tagging via coarse mapping between embeddings Y Zhang, D Gaddy, R Barzilay, T Jaakkola Association for Computational Linguistics, 2016 | 128 | 2016 |
| Low-Rank Tensors for Scoring Dependency Structures T Lei, Y Xin, Y Zhang, R Barzilay, T Jaakkola Annual Meeting of the Association for Computational Linguistics, 2014 | 128 | 2014 |
| Stack-propagation: Improved representation learning for syntax Y Zhang, D Weiss arXiv preprint arXiv:1603.06598, 2016 | 111 | 2016 |
| Aspect-augmented adversarial networks for domain adaptation Y Zhang, R Barzilay, T Jaakkola Transactions of the Association for Computational Linguistics 5, 515-528, 2017 | 106 | 2017 |
| Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing Y Zhang, R Barzilay EMNLP, 2015 | 78 | 2015 |
| Large-scale representation learning from visually grounded untranscribed speech G Ilharco, Y Zhang, J Baldridge arXiv preprint arXiv:1909.08782, 2019 | 71 | 2019 |
| Unlocking compositional generalization in pre-trained models using intermediate representations J Herzig, P Shaw, MW Chang, K Guu, P Pasupat, Y Zhang arXiv preprint arXiv:2104.07478, 2021 | 63 | 2021 |
| Greed is good if randomized: New inference for dependency parsing Y Zhang, T Lei, R Barzilay, T Jaakkola Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 60 | 2014 |
| Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing Y Zhang, C Li, R Barzilay, K Darwish NAACL, 2015 | 58 | 2015 |
| Moodcast: Emotion prediction via dynamic continuous factor graph model Y Zhang, J Tang, J Sun, Y Chen, J Rao 2010 IEEE International Conference on Data Mining, 1193-1198, 2010 | 57 | 2010 |
| Few-shot intent classification and slot filling with retrieved examples D Yu, L He, Y Zhang, X Du, P Pasupat, Q Li arXiv preprint arXiv:2104.05763, 2021 | 54 | 2021 |
| High-Order Low-Rank Tensors for Semantic Role Labeling T Lei, Y Zhang, L Màrquez, A Moschitti, R Barzilay NAACL, 2015 | 48 | 2015 |
| A Fast, Compact, Accurate Model for Language Identification of Codemixed Text Y Zhang, J Riesa, D Gillick, A Bakalov, J Baldridge, D Weiss EMNLP 2018, 2018 | 38 | 2018 |
| Controllable semantic parsing via retrieval augmentation P Pasupat, Y Zhang, K Guu arXiv preprint arXiv:2110.08458, 2021 | 37 | 2021 |
| A collaborative filtering tag recommendation system based on graph Y Zhang, N Zhang, J Tang ECML PKDD discovery challenge, 297-306, 2009 | 36 | 2009 |
Jason BaldridgeResearch Scientist, GoogleVerified email at google.com
