Zining Zhu

Affiliations:
  • University of Toronto, Department of Computer Science, ON, Canada


According to our database1, Zining Zhu authored at least 20 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Measuring Information in Text Explanations.
CoRR, 2023

Situated Natural Language Explanations.
CoRR, 2023

CCGen: Explainable Complementary Concept Generation in E-Commerce.
CoRR, 2023

A State-Vector Framework for Dataset Effects.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization.
CoRR, 2022

Predicting Fine-Tuning Performance with Probing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On the data requirements of probing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Neural reality of argument structure constructions.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Quantifying the Task-Specific Information in Text-Based Classifications.
CoRR, 2021

What do writing features tell us about AI papers?
CoRR, 2021

An unsupervised framework for tracing textual sources of moral change.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

How is BERT surprised? Layerwise detection of linguistic anomalies.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Semantic coordinates analysis reveals language changes in the AI field.
CoRR, 2020

An information theoretic view on selecting linguistic probes.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Examining the rhetorical capacities of neural language models.
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

2019
Detecting cognitive impairments by agreeing on interpretations of linguistic features.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
Robustness against the channel effect in pathological voice detection.
CoRR, 2018

Isolating effects of age with fair representation learning when assessing dementia.
CoRR, 2018

Semi-supervised classification by reaching consensus among modalities.
CoRR, 2018

2017
Deep neural networks for improved, impromptu trajectory tracking of quadrotors.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017


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