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ORCIDZining Zhu 0001
Person information
- unicode name: 朱子宁
- affiliation: University of Toronto, Department of Computer Science, ON, Canada
Other persons with the same name
- Zining Zhu 0002 — First Hospital of Jilin University, Department of Radiology, Changchun, China
- Zining Zhu 0003 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China
- Zining Zhu 0004 — University of Chinese Academy of Sciences, Beijing, China
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2020 – today
- 2024
[i23]Rohan Deepak Ajwani, Zining Zhu, Jonathan Rose, Frank Rudzicz:
Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation. CoRR abs/2404.05143 (2024)- [i22]Jingcheng Niu, Andrew Liu, Zining Zhu, Gerald Penn:
What does the Knowledge Neuron Thesis Have to do with Knowledge? CoRR abs/2405.02421 (2024) - [i21]Rohan Deepak Ajwani, Shashidhar Reddy Javaji, Frank Rudzicz, Zining Zhu:
LLM-Generated Black-box Explanations Can Be Adversarially Helpful. CoRR abs/2405.06800 (2024) - 2023
- [c10]Esmat Sahak, Zining Zhu, Frank Rudzicz:
A State-Vector Framework for Dataset Effects. EMNLP 2023: 15231-15245 - [i20]Jie Huang, Yifan Gao, Zheng Li, Jingfeng Yang, Yangqiu Song, Chao Zhang, Zining Zhu, Haoming Jiang, Kevin Chen-Chuan Chang, Bing Yin:
CCGen: Explainable Complementary Concept Generation in E-Commerce. CoRR abs/2305.11480 (2023) - [i19]Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin:
Situated Natural Language Explanations. CoRR abs/2308.14115 (2023) - [i18]Zining Zhu, Frank Rudzicz:
Measuring Information in Text Explanations. CoRR abs/2310.04557 (2023) - [i17]Esmat Sahak, Zining Zhu, Frank Rudzicz:
A State-Vector Framework for Dataset Effects. CoRR abs/2310.10955 (2023) - 2022
- [c9]Zining Zhu, Jixuan Wang, Bai Li, Frank Rudzicz:
On the data requirements of probing. ACL (Findings) 2022: 4132-4147 - [c8]Bai Li, Zining Zhu, Guillaume Thomas, Frank Rudzicz, Yang Xu:
Neural reality of argument structure constructions. ACL (1) 2022: 7410-7423 - [c7]Zining Zhu, Soroosh Shahtalebi, Frank Rudzicz:
Predicting Fine-Tuning Performance with Probing. EMNLP 2022: 11534-11547 - [i16]Bai Li, Zining Zhu, Guillaume Thomas, Frank Rudzicz, Yang Xu:
Neural reality of argument structure constructions. CoRR abs/2202.12246 (2022) - [i15]Zining Zhu, Jixuan Wang, Bai Li, Frank Rudzicz:
On the data requirements of probing. CoRR abs/2202.12801 (2022) - [i14]Zining Zhu, Soroosh Shahtalebi, Frank Rudzicz:
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization. CoRR abs/2208.12352 (2022) - [i13]Zining Zhu, Soroosh Shahtalebi, Frank Rudzicz:
Predicting Fine-Tuning Performance with Probing. CoRR abs/2210.07352 (2022) - 2021
- [c6]Bai Li, Zining Zhu, Guillaume Thomas, Yang Xu, Frank Rudzicz:
How is BERT surprised? Layerwise detection of linguistic anomalies. ACL/IJCNLP (1) 2021: 4215-4228 - [c5]Aida Ramezani, Zining Zhu, Frank Rudzicz, Yang Xu:
An unsupervised framework for tracing textual sources of moral change. EMNLP (Findings) 2021: 1215-1228 - [i12]Bai Li, Zining Zhu, Guillaume Thomas, Yang Xu, Frank Rudzicz:
How is BERT surprised? Layerwise detection of linguistic anomalies. CoRR abs/2105.07452 (2021) - [i11]Zining Zhu, Bai Li, Yang Xu, Frank Rudzicz:
What do writing features tell us about AI papers? CoRR abs/2107.06310 (2021) - [i10]Aida Ramezani, Zining Zhu, Frank Rudzicz, Yang Xu:
An unsupervised framework for tracing textual sources of moral change. CoRR abs/2109.00608 (2021) - [i9]Zining Zhu, Aparna Balagopalan, Marzyeh Ghassemi, Frank Rudzicz:
Quantifying the Task-Specific Information in Text-Based Classifications. CoRR abs/2110.08931 (2021) - 2020
- [c4]Zining Zhu, Chuer Pan, Mohamed Abdalla, Frank Rudzicz:
Examining the rhetorical capacities of neural language models. BlackboxNLP@EMNLP 2020: 16-32 - [c3]Zining Zhu, Frank Rudzicz:
An information theoretic view on selecting linguistic probes. EMNLP (1) 2020: 9251-9262 - [i8]Zining Zhu, Frank Rudzicz:
An information theoretic view on selecting linguistic probes. CoRR abs/2009.07364 (2020) - [i7]Zining Zhu, Chuer Pan, Mohamed Abdalla, Frank Rudzicz:
Examining the rhetorical capacities of neural language models. CoRR abs/2010.00153 (2020) - [i6]Zining Zhu, Yang Xu, Frank Rudzicz:
Semantic coordinates analysis reveals language changes in the AI field. CoRR abs/2011.00543 (2020)
2010 – 2019
- 2019
- [c2]Zining Zhu, Jekaterina Novikova, Frank Rudzicz:
Detecting cognitive impairments by agreeing on interpretations of linguistic features. NAACL-HLT (1) 2019: 1431-1441 - 2018
- [i5]Zining Zhu, Jekaterina Novikova, Frank Rudzicz:
Semi-supervised classification by reaching consensus among modalities. CoRR abs/1805.09366 (2018) - [i4]Zining Zhu, Jekaterina Novikova, Frank Rudzicz:
Isolating effects of age with fair representation learning when assessing dementia. CoRR abs/1807.07217 (2018) - [i3]Zining Zhu, Jekaterina Novikova, Frank Rudzicz:
Detecting cognitive impairments by agreeing on interpretations of linguistic features. CoRR abs/1808.06570 (2018) - [i2]Yi-Te Hsu, Zining Zhu, Chi-Te Wang, Shih-Hau Fang, Frank Rudzicz, Yu Tsao:
Robustness against the channel effect in pathological voice detection. CoRR abs/1811.10376 (2018) - 2017
- [c1]Qiyang Li, Jingxing Qian, Zining Zhu, Xuchan Bao, Mohamed K. Helwa, Angela P. Schoellig
:
Deep neural networks for improved, impromptu trajectory tracking of quadrotors. ICRA 2017: 5183-5189 - 2016
- [i1]Qiyang Li, Jingxing Qian, Zining Zhu, Xuchan Bao, Mohamed K. Helwa, Angela P. Schoellig:
Deep Neural Networks for Improved, Impromptu Trajectory Tracking of Quadrotors. CoRR abs/1610.06283 (2016)
Coauthor Index
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last updated on 2024-06-26 23:11 CEST by the dblp team
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