Zhengxuan Wu

According to our database, Zhengxuan Wu authored at least 35 papers between 2018 and 2024.

Collaborative distances:

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

2024

pyvene: A Library for Understanding and Improving PyTorch Models via Interventions.

Zhengxuan Wu, Atticus Geiger, Aryaman Arora, Jing Huang, Zheng Wang, Noah D. Goodman, Christopher D. Manning, Christopher Potts

CoRR, 2024

In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation.

Shiqi Chen, Miao Xiong, Junteng Liu, Zhengxuan Wu, Teng Xiao, Siyang Gao, Junxian He

CoRR, 2024

RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations.

Jing Huang, Zhengxuan Wu, Christopher Potts, Mor Geva, Atticus Geiger

CoRR, 2024

A Reply to Makelov et al. (2023)'s "Interpretability Illusion" Arguments.

Zhengxuan Wu, Atticus Geiger, Jing Huang, Aryaman Arora, Thomas Icard, Christopher Potts, Noah D. Goodman

CoRR, 2024

2023

Interpretability at Scale: Identifying Causal Mechanisms in Alpaca.

Zhengxuan Wu, Atticus Geiger, Christopher Potts, Noah D. Goodman

CoRR, 2023

ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation.

Zhengxuan Wu, Christopher D. Manning, Christopher Potts

CoRR, 2023

Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations.

Atticus Geiger, Zhengxuan Wu, Christopher Potts, Thomas Icard, Noah D. Goodman

CoRR, 2023

Interpretability at Scale: Identifying Causal Mechanisms in Alpaca.

Zhengxuan Wu, Atticus Geiger, Thomas Icard, Christopher Potts, Noah D. Goodman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causal Proxy Models for Concept-based Model Explanations.

Zhengxuan Wu, Karel D'Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts

Proceedings of the International Conference on Machine Learning, 2023

MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions.

Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen

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

Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies.

Zhengxuan Wu, Alex Tamkin, Isabel Papadimitriou

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

Rigorously Assessing Natural Language Explanations of Neurons.

Jing Huang, Atticus Geiger, Karel D'Oosterlinck, Zhengxuan Wu, Christopher Potts

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training.

Jing Huang, Zhengxuan Wu, Kyle Mahowald, Christopher Potts

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Oolong: Investigating What Makes Crosslingual Transfer Hard with Controlled Studies.

Zhengxuan Wu, Isabel Papadimitriou, Alex Tamkin

CoRR, 2022

Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models.

Zhengxuan Wu, Nelson F. Liu, Christopher Potts

Proceedings of the 7th Workshop on Representation Learning for NLP, 2022

ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time.

Tailin Wu, Megan Tjandrasuwita, Zhengxuan Wu, Xuelin Yang, Kevin Liu, Rok Sosic, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior.

Eldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Causal Distillation for Language Models.

Zhengxuan Wu, Atticus Geiger, Joshua Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Inducing Causal Structure for Interpretable Neural Networks.

Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts

Proceedings of the International Conference on Machine Learning, 2022

2021

Modeling Emotion in Complex Stories: The Stanford Emotional Narratives Dataset.

Desmond C. Ong, Zhengxuan Wu, Zhi-Xuan Tan, Marianne Reddan, Isabella Kahhale, Alison Mattek, Jamil Zaki

IEEE Trans. Affect. Comput., 2021

Attention uncovers task-relevant semantics in emotional narrative understanding.

Thanh-Son Nguyen, Zhengxuan Wu, Desmond C. Ong

Knowl. Based Syst., 2021

On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification.

Zhengxuan Wu, Desmond C. Ong

CoRR, 2021

ReaSCAN: Compositional Reasoning in Language Grounding.

Zhengxuan Wu, Elisa Kreiss, Desmond C. Ong, Christopher Potts

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Dynabench: Rethinking Benchmarking in NLP.

Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Not Now, Ask Later: Users Weaken Their Behavior Change Regimen Over Time, But Expect To Re-Strengthen It Imminently.

Geza Kovacs, Zhengxuan Wu, Michael S. Bernstein

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

DynaSent: A Dynamic Benchmark for Sentiment Analysis.

Christopher Potts, Zhengxuan Wu, Atticus Geiger, Douwe Kiela

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis.

Zhengxuan Wu, Desmond C. Ong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Structured Self-Attention Weights Encode Semantics in Sentiment Analysis.

Zhengxuan Wu, Thanh-Son Nguyen, Desmond C. Ong

CoRR, 2020

Pragmatically Informative Color Generation by Grounding Contextual Modifiers.

Zhengxuan Wu, Desmond C. Ong

CoRR, 2020

Structured Self-AttentionWeights Encode Semantics in Sentiment Analysis.

Zhengxuan Wu, Thanh-Son Nguyen, Desmond C. Ong

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

2019

Uncovering Political Promotion in China: A Network Analysis of Patronage Relationship in Autocracy.

Zhengxuan Wu, Jason Luo, Xiyu Zhang

CoRR, 2019

Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives.

Zhengxuan Wu, Yueyi Jiang

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Conservation of Procrastination: Do Productivity Interventions Save Time Or Just Redistribute It?

Geza Kovacs, Drew Mylander Gregory, Zilin Ma, Zhengxuan Wu, Golrokh Emami, Jacob Ray, Michael S. Bernstein

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Attending to Emotional Narratives.

Zhengxuan Wu, Xiyu Zhang, Zhi-Xuan Tan, Jamil Zaki, Desmond C. Ong

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2018

Rotating Online Behavior Change Interventions Increases Effectiveness But Also Increases Attrition.

Geza Kovacs, Zhengxuan Wu, Michael S. Bernstein

Proc. ACM Hum. Comput. Interact., 2018