Zhijing Jin

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Mrinmaya SachanAssistant Professor, ETH ZürichVerified email at inf.ethz.ch
Rada MihalceaProfessor of Computer Science, University of MichiganVerified email at umich.edu
Di JinSenior Research Scientist, Meta GenAIVerified email at mit.edu
Peter SzolovitsProfessor of Computer Science and Engineering, MITVerified email at mit.edu
Zhiheng LYUCS Undergraduate; The University of Hong KongVerified email at connect.hku.hk
Xipeng Qiu（邱锡鹏）Professor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
Zheng ZhangProfessor of Computer Science and Engineering, NYU Shanghai; Director, Amazon Shanghai AI LabVerified email at nyu.edu
Mona DiabProfessor & Director of Language Technologies Institute, Carnegie Mellon University, ACL FellowVerified email at andrew.cmu.edu
Justus MatternUndergraduate Student at RWTH AachenVerified email at rwth-aachen.de
Ryan CotterellETH ZürichVerified email at inf.ethz.ch
David WipfPrincipal Research Scientist, Amazon Web ServicesVerified email at amazon.com
Sydney LevineResearch Scientist, Allen Institute for AI (Research Affiliate: Harvard & MIT)Verified email at mit.edu
Regina BarzilayProfessor of EECS, MITVerified email at csail.mit.edu
Zhiting HuAssistant Professor at UC San DiegoVerified email at ucsd.edu
Olga VechtomovaUniversity of WaterlooVerified email at uwaterloo.ca
Jiarui LiuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Yanai ElazarPostdoctoral Researcher at AI2 & UWVerified email at macs.biu.ac.il
Charlotta LindvallMD PhD, Dana-Farber Cancer InstituteVerified email at mail.harvard.edu
Julius von KügelgenETH ZürichVerified email at stat.math.ethz.ch

Zhijing Jin

Max Planck Institute & ETH Zürich | Assistant Prof @ University of Toronto

Verified email at ethz.ch - Homepage

Natural Language Processing Causal Inference Machine Learning Artificial Intelligence LLMs


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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	1217*	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	267	2022
GraphIE: A graph-based framework for information extraction Y Qian, E Santus, Z Jin, J Guo, R Barzilay NAACL 2019, 2019	131	2019
Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion F Schneider, O Kamal, Z Jin, B Schölkopf arXiv preprint arXiv:2301.11757, 2023	106	2023
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	93*	2023
Membership Inference Attacks against Language Models via Neighbourhood Comparison J Mattern, F Mireshghallah, Z Jin, B Schölkopf, M Sachan, ... ACL 2023 Findings, 2023	81	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	79	2022
IMaT: Unsupervised text attribute transfer via iterative matching and translation Z Jin, D Jin, J Mueller, N Matthews, E Santus EMNLP-IJCNLP 2019, 2019	79	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	71	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	66	2020
Logical Fallacy Detection Z Jin, A Lalwani, T Vaidhya, X Shen, Y Ding, Z Lyu, M Sachan, ... Findings of EMNLP 2022, 2022	63	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 ICLR 2024, 2024	62	2024
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	56	2020
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	52*	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	44	2020
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	40	2023
Differentially private language models for secure data sharing J Mattern, Z Jin, B Weggenmann, B Schoelkopf, M Sachan EMNLP 2022, 2022	32	2022
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	30	2020
Understanding stereotypes in language models: Towards robust measurement and zero-shot debiasing J Mattern, Z Jin, M Sachan, R Mihalcea, B Schölkopf arXiv preprint arXiv:2212.10678, 2022	28	2022
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	28	2021

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