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Zhijing Jin
Zhijing Jin
Max Planck Institute & ETH Zürich
Verifierad e-postadress på ethz.ch - Startsida
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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
1369*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
2992022
Membership Inference Attacks against Language Models via Neighbourhood Comparison
J Mattern, F Mireshghallah, Z Jin, B Schölkopf, M Sachan, ...
ACL 2023 Findings, 2023
1462023
Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion
F Schneider, O Kamal, Z Jin, B Schölkopf
arXiv preprint arXiv:2301.11757, 2023
1452023
GraphIE: A graph-based framework for information extraction
Y Qian, E Santus, Z Jin, J Guo, R Barzilay
NAACL 2019, 2019
1412019
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
124*2023
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
1012024
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
98*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
962022
IMaT: Unsupervised text attribute transfer via iterative matching and translation
Z Jin*, D Jin*, J Mueller, N Matthews, E Santus
EMNLP-IJCNLP 2019, 2019
832019
Logical Fallacy Detection
Z Jin*, A Lalwani*, T Vaidhya, X Shen, Y Ding, Z Lyu, M Sachan, ...
Findings of EMNLP 2022, 2022
772022
Hooks in the headline: Learning to generate headlines with controlled styles
D Jin, Z Jin, JT Zhou, L Orii, P Szolovits
ACL 2020, 2020
762020
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
722020
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
622020
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
532023
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
492020
Differentially private language models for secure data sharing
J Mattern, Z Jin, B Weggenmann, B Schoelkopf, M Sachan
EMNLP 2022, 2022
452022
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
362021
Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias
Y Chen, VC Raghuram, J Mattern, R Mihalcea, Z Jin
Causality and Large Models@ NeurIPS 2024, 2024
33*2024
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
322020
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Artiklar 1–20