| Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment D Jin*, Z Jin*, JT Zhou, P Szolovits Proceedings of the AAAI conference on artificial intelligence 34 (05), 8018-8025, 2020 | 747* | 2020 |
| Deep learning for text style transfer: A survey D Jin*, Z Jin*, Z Hu, O Vechtomova, R Mihalcea Computational Linguistics 48 (1), 155-205, 2022 | 111 | 2022 |
| GraphIE: A graph-based framework for information extraction Y Qian, E Santus, Z Jin, J Guo, R Barzilay arXiv preprint arXiv:1810.13083, 2018 | 95 | 2018 |
| IMaT: Unsupervised text attribute transfer via iterative matching and translation Z Jin*, D Jin*, J Mueller, N Matthews, E Santus arXiv preprint arXiv:1901.11333, 2019 | 55* | 2019 |
| Hooks in the headline: Learning to generate headlines with controlled styles D Jin, Z Jin, JT Zhou, L Orii, P Szolovits arXiv preprint arXiv:2004.01980, 2020 | 38 | 2020 |
| CycleGT: Unsupervised graph-to-text and text-to-graph generation via cycle training Q Guo*, Z Jin*, X Qiu, W Zhang, D Wipf, Z Zhang arXiv preprint arXiv:2006.04702, 2020 | 32 | 2020 |
| Tasty burgers, soggy fries: Probing aspect robustness in aspect-based sentiment analysis X Xing*, Z Jin*, D Jin, B Wang, Q Zhang, X Huang arXiv preprint arXiv:2009.07964, 2020 | 28 | 2020 |
| Genwiki: A dataset of 1.3 million content-sharing text and graphs for unsupervised graph-to-text generation Z Jin, Q Guo, X Qiu, Z Zhang Proceedings of the 28th International Conference on Computational …, 2020 | 24 | 2020 |
| Deep natural language processing to identify symptom documentation in clinical notes for patients with heart failure undergoing cardiac resynchronization therapy RE Leiter, E Santus, Z Jin, KC Lee, M Yusufov, I Chien, A Ramaswamy, ... Journal of Pain and Symptom Management 60 (5), 948-958. e3, 2020 | 16 | 2020 |
| A simple baseline to semi-supervised domain adaptation for machine translation D Jin, Z Jin, JT Zhou, P Szolovits arXiv preprint arXiv:2001.08140, 2020 | 16* | 2020 |
| 𝒫2: A Plan-and-Pretrain Approach for Knowledge Graph-to-Text Generation Q Guo, Z Jin, N Dai, X Qiu, X Xue, D Wipf, Z Zhang Proceedings of the 3rd International Workshop on Natural Language Generation …, 2020 | 16* | 2020 |
| How good is NLP? a sober look at NLP tasks through the lens of social impact Z Jin, G Chauhan, B Tse, M Sachan, R Mihalcea arXiv preprint arXiv:2106.02359, 2021 | 15 | 2021 |
| Causal direction of data collection matters: Implications of causal and anticausal learning for NLP Z Jin*, J von Kügelgen*, J Ni, T Vaidhya, A Kaushal, M Sachan, ... arXiv preprint arXiv:2110.03618, 2021 | 14 | 2021 |
| Logical fallacy detection Z Jin*, A Lalwani*, T Vaidhya, X Shen, Y Ding, Z Lyu, M Sachan, ... arXiv preprint arXiv:2202.13758, 2022 | 12 | 2022 |
| Relation of the relations: A new paradigm of the relation extraction problem Z Jin*, Y Yang*, X Qiu, Z Zhang arXiv preprint arXiv:2006.03719, 2020 | 12 | 2020 |
| State-of-the-art generalisation research in NLP: a taxonomy and review D Hupkes, M Giulianelli, V Dankers, M Artetxe, Y Elazar, T Pimentel, ... arXiv preprint arXiv:2210.03050, 2022 | 10 | 2022 |
| When to make exceptions: Exploring language models as accounts of human moral judgment Z Jin*, S Levine*, F Gonzalez*, O Kamal, M Sap, M Sachan, R Mihalcea, ... Advances in neural information processing systems 35, 28458-28473, 2022 | 9 | 2022 |
| A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models A Stolfo*, Z Jin*, K Shridhar, B Schölkopf, M Sachan arXiv preprint arXiv:2210.12023, 2022 | 9 | 2022 |
| Fork or fail: Cycle-consistent training with many-to-one mappings Q Guo, Z Jin, Z Wang, X Qiu, W Zhang, J Zhu, Z Zhang, W David International Conference on Artificial Intelligence and Statistics, 1828-1836, 2021 | 8 | 2021 |
| Mining the cause of political decision-making from social media: A case study of COVID-19 policies across the US states Z Jin, Z Peng, T Vaidhya, B Schoelkopf, R Mihalcea Findings of the Association for Computational Linguistics: EMNLP 2021, 288-301, 2021 | 7 | 2021 |
Di JinSenior Applied Scientist at Amazon Alexa AIVerified email at mit.edu
