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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
1100*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
2282022
GraphIE: A graph-based framework for information extraction
Y Qian, E Santus, Z Jin, J Guo, R Barzilay
NAACL 2019, 2019
1262019
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
75*2023
Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion
F Schneider, Z Jin†, B Schölkopf†
arXiv preprint arXiv:2301.11757, 2023
732023
IMaT: Unsupervised text attribute transfer via iterative matching and translation
Z Jin*, D Jin*, J Mueller, N Matthews, E Santus
EMNLP-IJCNLP 2019, 2019
732019
Hooks in the headline: Learning to generate headlines with controlled styles
D Jin, Z Jin, JT Zhou, L Orii, P Szolovits
ACL 2020, 2020
632020
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
602020
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
582022
Logical Fallacy Detection
Z Jin*, A Lalwani*, T Vaidhya, X Shen, Y Ding, Z Lyu, M Sachan, ...
Findings of EMNLP 2022, 2022
522022
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
492020
Membership Inference Attacks against Language Models via Neighbourhood Comparison
J Mattern, F Mireshghallah, Z Jin, B Schölkopf, M Sachan, ...
ACL 2023 Findings, 2023
422023
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
412020
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
402024
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
362023
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
272021
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
272020
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
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
232021
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
21*2023
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