Zining Zhu
Zining Zhu
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Zitiert von
Zitiert von
Deep neural networks for improved, impromptu trajectory tracking of quadrotors
Q Li, J Qian, Z Zhu, X Bao, MK Helwa, AP Schoellig
2017 IEEE International Conference on Robotics and Automation (ICRA), 5183-5189, 2017
How is BERT surprised? Layerwise detection of linguistic anomalies
B Li, Z Zhu, G Thomas, Y Xu, F Rudzicz
ACL-IJCNLP 1, 4215-4228, 2021
Detecting cognitive impairments by agreeing on interpretations of linguistic features
Z Zhu, J Novikova, F Rudzicz
NAACL 2019, 2018
Neural reality of argument structure constructions
B Li, Z Zhu, G Thomas, F Rudzicz, Y Xu
ACL 2022, 2022
An information theoretic view on selecting linguistic probes
Z Zhu, F Rudzicz
EMNLP 2020, 2020
Semi-supervised classification by reaching consensus among modalities
Z Zhu, J Novikova, F Rudzicz
NeurIPS IRASL Workshop, 2018
Examining the rhetorical capacities of neural language models
Z Zhu, C Pan, M Abdalla, F Rudzicz
EMNLP BlackboxNLP Workshop, 2020
An unsupervised framework for tracing textual sources of moral change
A Ramezani, Z Zhu, F Rudzicz, Y Xu
Findings of EMNLP, 2021
Robustness against the channel effect in pathological voice detection
YT Hsu, Z Zhu, CT Wang, SH Fang, F Rudzicz, Y Tsao
NeurIPS ML4H Workshop, 2018
Predicting Fine-Tuning Performance with Probing
Z Zhu, S Shahtalebi, F Rudzicz
EMNLP, 2022
Deconfounding age effects with fair representation learning when assessing dementia
Z Zhu, J Novikova, F Rudzicz
arXiv preprint arXiv:1807.07217, 2018
Ccgen: Explainable complementary concept generation in e-commerce
J Huang, Y Gao, Z Li, J Yang, Y Song, C Zhang, Z Zhu, H Jiang, ...
arXiv preprint arXiv:2305.11480, 2023
On the data requirements of probing
Z Zhu, J Wang, B Li, F Rudzicz
Findings of ACL, 2022
Quantifying the Task-Specific Information in Text-Based Classifications
Z Zhu, A Balagopalan, M Ghassemi, F Rudzicz
arXiv preprint arXiv:2110.08931, 2021
What does the Knowledge Neuron Thesis Have to do with Knowledge?
J Niu, A Liu, Z Zhu, G Penn
The Twelfth International Conference on Learning Representations, 2024
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization
Z Zhu, S Shahtalebi, F Rudzicz
ICML 2022: Workshop on Spurious Correlations, Invariance and Stability, 2022
Out-of-Distribution Failure through the Lens of Labeling Mechanisms: An Information Theoretic Approach
S Shahtalebi, Z Zhu, F Rudzicz
ICML 2022: Workshop on Spurious Correlations, Invariance and Stability, 2022
What do writing features tell us about AI papers?
Z Zhu, B Li, Y Xu, F Rudzicz
arXiv preprint arXiv:2107.06310, 2021
LLM-Generated Black-box Explanations Can Be Adversarially Helpful
R Ajwani, SR Javaji, F Rudzicz, Z Zhu
arXiv preprint arXiv:2405.06800, 2024
Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation
RD Ajwani, Z Zhu, J Rose, F Rudzicz
arXiv preprint arXiv:2404.05143, 2024
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