Zhengxuan Wu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 58

Top Topics

Transfer Learning

Sequence Classification

Causal Structure

Top Venues

BlackboxNLP@EMNLP

Publications

Jing Huang, Zhengxuan Wu, Christopher Potts, Mor Geva, Atticus Geiger
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations. ACL (1) (2024)
Jing Huang, Zhengxuan Wu, Christopher Potts, Mor Geva, Atticus Geiger
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations. CoRR (2024)
Zhengxuan Wu, Aryaman Arora, Zheng Wang, Atticus Geiger, Dan Jurafsky, Christopher D. Manning, Christopher Potts
ReFT: Representation Finetuning for Language Models. CoRR (2024)
Zhengxuan Wu, Yuhao Zhang, Peng Qi, Yumo Xu, Rujun Han, Yian Zhang, Jifan Chen, Bonan Min, Zhiheng Huang
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models. CoRR (2024)
Shiqi Chen, Miao Xiong, Junteng Liu, Zhengxuan Wu, Teng Xiao, Siyang Gao, Junxian He
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation. CoRR (2024)
Zhengxuan Wu, Atticus Geiger, Aryaman Arora, Jing Huang, Zheng Wang, Noah D. Goodman, Christopher D. Manning, Christopher Potts
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions. CoRR (2024)
Weixin Liang, Yaohui Zhang, Zhengxuan Wu, Haley Lepp, Wenlong Ji, Xuandong Zhao, Hancheng Cao, Sheng Liu, Siyu He, Zhi Huang, Diyi Yang, Christopher Potts, Christopher D. Manning, James Y. Zou
Mapping the Increasing Use of LLMs in Scientific Papers. CoRR (2024)
Zhengxuan Wu, Atticus Geiger, Jing Huang, Aryaman Arora, Thomas Icard, Christopher Potts, Noah D. Goodman
A Reply to Makelov et al. (2023)'s "Interpretability Illusion" Arguments. CoRR (2024)
Atticus Geiger, Zhengxuan Wu, Christopher Potts, Thomas Icard, Noah D. Goodman
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations. CLeaR (2024)
Zhengxuan Wu, Atticus Geiger, Thomas Icard, Christopher Potts, Noah D. Goodman
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca. NeurIPS (2023)
Zhengxuan Wu, Atticus Geiger, Christopher Potts, Noah D. Goodman
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca. CoRR (2023)
Jing Huang, Atticus Geiger, Karel D'Oosterlinck, Zhengxuan Wu, Christopher Potts
Rigorously Assessing Natural Language Explanations of Neurons. CoRR (2023)
Atticus Geiger, Zhengxuan Wu, Christopher Potts, Thomas Icard, Noah D. Goodman
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations. CoRR (2023)
Jing Huang, Atticus Geiger, Karel D'Oosterlinck, Zhengxuan Wu, Christopher Potts
Rigorously Assessing Natural Language Explanations of Neurons. BlackboxNLP@EMNLP (2023)
Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. EMNLP (2023)
Zhengxuan Wu, Christopher D. Manning, Christopher Potts
ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation. Trans. Assoc. Comput. Linguistics 11 (2023)
Zhengxuan Wu, Karel D'Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts
Causal Proxy Models for Concept-based Model Explanations. ICML (2023)
Zhengxuan Wu, Alex Tamkin, Isabel Papadimitriou
Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies. EMNLP (2023)
Jing Huang, Zhengxuan Wu, Kyle Mahowald, Christopher Potts
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training. ACL (Findings) (2023)
Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. CoRR (2023)
Zhengxuan Wu, Christopher D. Manning, Christopher Potts
ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation. CoRR (2023)
Zhengxuan Wu, Isabel Papadimitriou, Alex Tamkin
Oolong: Investigating What Makes Crosslingual Transfer Hard with Controlled Studies. CoRR (2022)
Zhengxuan Wu, Atticus Geiger, Joshua Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman
Causal Distillation for Language Models. NAACL-HLT (2022)
Zhengxuan Wu, Nelson F. Liu, Christopher Potts
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models. RepL4NLP@ACL (2022)
Jing Huang, Zhengxuan Wu, Kyle Mahowald, Christopher Potts
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training. CoRR (2022)
Zhengxuan Wu, Karel D'Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts
Causal Proxy Models for Concept-Based Model Explanations. CoRR (2022)
Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts
Inducing Causal Structure for Interpretable Neural Networks. ICML (2022)
Eldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior. NeurIPS (2022)
Eldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior. CoRR (2022)
Tailin Wu, Megan Tjandrasuwita, Zhengxuan Wu, Xuelin Yang, Kevin Liu, Rok Sosic, Jure Leskovec
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time. CoRR (2022)
Tailin Wu, Megan Tjandrasuwita, Zhengxuan Wu, Xuelin Yang, Kevin Liu, Rok Sosic, Jure Leskovec
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time. NeurIPS (2022)
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
Dynabench: Rethinking Benchmarking in NLP. NAACL-HLT (2021)
Zhengxuan Wu, Atticus Geiger, Josh Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman
Causal Distillation for Language Models. CoRR (2021)
Zhengxuan Wu, Desmond C. Ong
On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification. CoRR (2021)
Zhengxuan Wu, Nelson F. Liu, Christopher Potts
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models. CoRR (2021)
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
Dynabench: Rethinking Benchmarking in NLP. CoRR (2021)
Thanh-Son Nguyen, Zhengxuan Wu, Desmond C. Ong
Attention uncovers task-relevant semantics in emotional narrative understanding. Knowl. Based Syst. 226 (2021)
Zhengxuan Wu, Desmond C. Ong
Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis. AAAI (2021)
Geza Kovacs, Zhengxuan Wu, Michael S. Bernstein
Not Now, Ask Later: Users Weaken Their Behavior Change Regimen Over Time, But Expect To Re-Strengthen It Imminently. CoRR (2021)
Desmond C. Ong, Zhengxuan Wu, Zhi-Xuan Tan, Marianne Reddan, Isabella Kahhale, Alison Mattek, Jamil Zaki
Modeling Emotion in Complex Stories: The Stanford Emotional Narratives Dataset. IEEE Trans. Affect. Comput. 12 (3) (2021)
Christopher Potts, Zhengxuan Wu, Atticus Geiger, Douwe Kiela
DynaSent: A Dynamic Benchmark for Sentiment Analysis. ACL/IJCNLP (1) (2021)
Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts
Inducing Causal Structure for Interpretable Neural Networks. CoRR (2021)
Zhengxuan Wu, Elisa Kreiss, Desmond C. Ong, Christopher Potts
ReaSCAN: Compositional Reasoning in Language Grounding. NeurIPS Datasets and Benchmarks (2021)
Zhengxuan Wu, Elisa Kreiss, Desmond C. Ong, Christopher Potts
ReaSCAN: Compositional Reasoning in Language Grounding. CoRR (2021)
Geza Kovacs, Zhengxuan Wu, Michael S. Bernstein
Not Now, Ask Later: Users Weaken Their Behavior Change Regimen Over Time, But Expect To Re-Strengthen It Imminently. CHI (2021)
Zhengxuan Wu, Thanh-Son Nguyen, Desmond C. Ong
Structured Self-AttentionWeights Encode Semantics in Sentiment Analysis. BlackboxNLP@EMNLP (2020)
Zhengxuan Wu, Thanh-Son Nguyen, Desmond C. Ong
Structured Self-Attention Weights Encode Semantics in Sentiment Analysis. CoRR (2020)
Christopher Potts, Zhengxuan Wu, Atticus Geiger, Douwe Kiela
DynaSent: A Dynamic Benchmark for Sentiment Analysis. CoRR (2020)
Zhengxuan Wu, Desmond C. Ong
Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis. CoRR (2020)
Zhengxuan Wu, Desmond C. Ong
Pragmatically Informative Color Generation by Grounding Contextual Modifiers. CoRR (2020)
Geza Kovacs, Drew Mylander Gregory, Zilin Ma, Zhengxuan Wu, Golrokh Emami, Jacob Ray, Michael S. Bernstein
Conservation of Procrastination: Do Productivity Interventions Save Time Or Just Redistribute It? CHI (2019)
Zhengxuan Wu, Xiyu Zhang, Zhi-Xuan Tan, Jamil Zaki, Desmond C. Ong
Attending to Emotional Narratives. CoRR (2019)
Zhengxuan Wu, Yueyi Jiang
Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives. NLPCC (2) (2019)
Desmond C. Ong, Zhengxuan Wu, Zhi-Xuan Tan, Marianne Reddan, Isabella Kahhale, Alison Mattek, Jamil Zaki
Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset. CoRR (2019)
Zhengxuan Wu, Xiyu Zhang, Zhi-Xuan Tan, Jamil Zaki, Desmond C. Ong
Attending to Emotional Narratives. ACII (2019)
Zhengxuan Wu, Yueyi Jiang
Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives. CoRR (2019)
Zhengxuan Wu, Jason Luo, Xiyu Zhang
Uncovering Political Promotion in China: A Network Analysis of Patronage Relationship in Autocracy. CoRR (2019)
Geza Kovacs, Zhengxuan Wu, Michael S. Bernstein
Rotating Online Behavior Change Interventions Increases Effectiveness But Also Increases Attrition. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)