Zining Zhu

According to our database, Zining Zhu authored at least 29 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

What Would You Ask When You First Saw a²+b²=c²? Evaluating LLM on Curiosity-Driven Questioning.

Shashidhar Reddy Javaji, Zining Zhu

CoRR, 2024

Functional Faithfulness in the Wild: Circuit Discovery with Differentiable Computation Graph Pruning.

Lei Yu, Jingcheng Niu, Zining Zhu, Gerald Penn

CoRR, 2024

How Well Can Knowledge Edit Methods Edit Perplexing Knowledge?

Huaizhi Ge, Frank Rudzicz, Zining Zhu

CoRR, 2024

What Do the Circuits Mean? A Knowledge Edit View.

Huaizhi Ge, Frank Rudzicz, Zining Zhu

CoRR, 2024

Scenarios and Approaches for Situated Natural Language Explanations.

Pengshuo Qiu, Frank Rudzicz, Zining Zhu

CoRR, 2024

ACCORD: Closing the Commonsense Measurability Gap.

François Roewer-Després, Jinyue Feng, Zining Zhu, Frank Rudzicz

CoRR, 2024

LLM-Generated Black-box Explanations Can Be Adversarially Helpful.

Rohan Deepak Ajwani, Shashidhar Reddy Javaji, Frank Rudzicz, Zining Zhu

CoRR, 2024

Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation.

Rohan Deepak Ajwani, Zining Zhu, Jonathan Rose, Frank Rudzicz

CoRR, 2024

What does the Knowledge Neuron Thesis Have to do with Knowledge?

Jingcheng Niu, Andrew Liu, Zining Zhu, Gerald Penn

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Measuring Information in Text Explanations.

Zining Zhu, Frank Rudzicz

CoRR, 2023

Situated Natural Language Explanations.

Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin

CoRR, 2023

CCGen: Explainable Complementary Concept Generation in E-Commerce.

Jie Huang, Yifan Gao, Zheng Li, Jingfeng Yang, Yangqiu Song, Chao Zhang, Zining Zhu, Haoming Jiang, Kevin Chen-Chuan Chang, Bing Yin

CoRR, 2023

A State-Vector Framework for Dataset Effects.

Esmat Sahak, Zining Zhu, Frank Rudzicz

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

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

Zining Zhu, Soroosh Shahtalebi, Frank Rudzicz

CoRR, 2022

Predicting Fine-Tuning Performance with Probing.

Zining Zhu, Soroosh Shahtalebi, Frank Rudzicz

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On the data requirements of probing.

Zining Zhu, Jixuan Wang, Bai Li, Frank Rudzicz

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Neural reality of argument structure constructions.

Bai Li, Zining Zhu, Guillaume Thomas, Frank Rudzicz, Yang Xu

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.

Zining Zhu, Aparna Balagopalan, Marzyeh Ghassemi, Frank Rudzicz

CoRR, 2021

What do writing features tell us about AI papers?

Zining Zhu, Bai Li, Yang Xu, Frank Rudzicz

CoRR, 2021

An unsupervised framework for tracing textual sources of moral change.

Aida Ramezani, Zining Zhu, Frank Rudzicz, Yang Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

How is BERT surprised? Layerwise detection of linguistic anomalies.

Bai Li, Zining Zhu, Guillaume Thomas, Yang Xu, Frank Rudzicz

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.

Zining Zhu, Yang Xu, Frank Rudzicz

CoRR, 2020

An information theoretic view on selecting linguistic probes.

Zining Zhu, Frank Rudzicz

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Examining the rhetorical capacities of neural language models.

Zining Zhu, Chuer Pan, Mohamed Abdalla, Frank Rudzicz

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.

Zining Zhu, Jekaterina Novikova, Frank Rudzicz

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.

Yi-Te Hsu, Zining Zhu, Chi-Te Wang, Shih-Hau Fang, Frank Rudzicz, Yu Tsao

CoRR, 2018

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

Zining Zhu, Jekaterina Novikova, Frank Rudzicz

CoRR, 2018

Semi-supervised classification by reaching consensus among modalities.

Zining Zhu, Jekaterina Novikova, Frank Rudzicz

CoRR, 2018

2017

Deep neural networks for improved, impromptu trajectory tracking of quadrotors.

Qiyang Li, Jingxing Qian, Zining Zhu, Xuchan Bao, Mohamed K. Helwa, Angela P. Schoellig

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017