Zhijing Jin
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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
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
GraphIE: A graph-based framework for information extraction
Y Qian, E Santus, Z Jin, J Guo, R Barzilay
NAACL 2019, 2019
IMaT: Unsupervised text attribute transfer via iterative matching and translation
Z Jin*, D Jin*, J Mueller, N Matthews, E Santus
EMNLP-IJCNLP 2019, 2019
Hooks in the headline: Learning to generate headlines with controlled styles
D Jin, Z Jin, JT Zhou, L Orii, P Szolovits
ACL 2020, 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
Proceedings of the 3rd International Workshop on WebNLG at INLG 2020, 2020
Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion
F Schneider, Z Jin†, B Schölkopf†
arXiv preprint arXiv:2301.11757, 2023
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 (NeurIPS) 35, 28458-28473, 2022
State-of-the-art generalisation research in NLP: a taxonomy and review
D Hupkes, M Giulianelli, V Dankers, M Artetxe, Y Elazar, T Pimentel, ...
Nature Machine Intelligence, 2022
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis
X Xing*, Z Jin*, D Jin, B Wang, Q Zhang, X Huang
EMNLP 2020, 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 COLING 2020, 2398-2409, 2020
Logical fallacy detection
Z Jin*, A Lalwani*, T Vaidhya, X Shen, Y Ding, Z Lyu, M Sachan, ...
Findings of EMNLP 2022, 2022
Can Large Language Models Infer Causation from Correlation?
Z Jin, J Liu, Z Lyu, S Poff, M Sachan, R Mihalcea, M Diab, B Schölkopf
arXiv preprint arXiv:2306.05836, 2023
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models
A Stolfo*, Z Jin*, K Shridhar, B Schölkopf, M Sachan
ACL 2023, 2023
Membership Inference Attacks against Language Models via Neighbourhood Comparison
J Mattern, F Mireshghallah, Z Jin, B Schölkopf, M Sachan, ...
ACL 2023 Findings, 2023
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
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, ...
EMNLP 2021, 2021
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
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
Findings of ACL 2021, 2021
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
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