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Zhijing Jin
Zhijing Jin
Max Planck Institute & ETH Zürich | Assistant Prof @ University of Toronto
Verified email at ethz.ch - Homepage
Title
Cited by
Cited by
Year
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
1168*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
2542022
GraphIE: A graph-based framework for information extraction
Y Qian, E Santus, Z Jin, J Guo, R Barzilay
NAACL 2019, 2019
1262019
Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion
F Schneider, O Kamal, Z Jin, B Schölkopf
arXiv preprint arXiv:2301.11757, 2023
912023
A Taxonomy and Review of Generalization Research in NLP
D Hupkes, M Giulianelli, V Dankers, M Artetxe, Y Elazar, T Pimentel, ...
Nature Machine Intelligence 5 (10), 1161-1174, 2023
86*2023
IMaT: Unsupervised text attribute transfer via iterative matching and translation
Z Jin*, D Jin*, J Mueller, N Matthews, E Santus
EMNLP-IJCNLP 2019, 2019
762019
Hooks in the headline: Learning to generate headlines with controlled styles
D Jin, Z Jin, JT Zhou, L Orii, P Szolovits
ACL 2020, 2020
702020
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
692022
Membership Inference Attacks against Language Models via Neighbourhood Comparison
J Mattern, F Mireshghallah, Z Jin, B Schölkopf, M Sachan, ...
ACL 2023 Findings, 2023
682023
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
632020
Logical Fallacy Detection
Z Jin*, A Lalwani*, T Vaidhya, X Shen, Y Ding, Z Lyu, M Sachan, ...
Findings of EMNLP 2022, 2022
592022
Can large language models infer causation from correlation?
Z Jin, J Liu, Z Lyu, S Poff, M Sachan, R Mihalcea, M Diab, B Schölkopf
ICLR 2024, 2024
572024
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
542020
CLadder: Assessing Causal Reasoning In Language Models
Z Jin, Y Chen, F Leeb, L Gresele, O Kamal, LYU Zhiheng, K Blin, ...
Thirty-seventh Conference on Neural Information Processing Systems, 2023
45*2023
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
432020
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
372023
Differentially private language models for secure data sharing
J Mattern, Z Jin, B Weggenmann, B Schoelkopf, M Sachan
EMNLP 2022, 2022
302022
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
282021
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
282020
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
252020
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Articles 1–20