Zhengxuan Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
8
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders. | Zhengxuan Wu, Aryaman Arora, Atticus Geiger, Zheng Wang, Jing Huang, Dan Jurafsky, Christopher D. Manning, Christopher Potts |
| 2024 | ACL | RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations. | Jing Huang, Zhengxuan Wu, Christopher Potts, Mor Geva, Atticus Geiger |
| 2024 | CogSci | Symbolic Variables in Distributed Networks that Count. | Satchel Grant, Zhengxuan Wu, Jay McClelland, Noah D. Goodman |
| 2024 | EMNLP | Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models. | Zhengxuan Wu, Yuhao Zhang, Peng Qi, Yumo Xu, Rujun Han, Yian Zhang, Jifan Chen, Bonan Min, Zhiheng Huang |
| 2024 | ICML | 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 |
| 2024 | NAACL | 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 |
| 2023 | ACL | Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training. | Jing Huang, Zhengxuan Wu, Kyle Mahowald, Christopher Potts |
| 2023 | EMNLP | Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies. | Zhengxuan Wu, Alex Tamkin, Isabel Papadimitriou |
| 2023 | EMNLP | MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. | Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen |
| 2023 | ICML | Causal Proxy Models for Concept-based Model Explanations. | Zhengxuan Wu, Karel D'Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts |
| 2022 | ICML | Inducing Causal Structure for Interpretable Neural Networks. | Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts |
| 2022 | NAACL | Causal Distillation for Language Models. | Zhengxuan Wu, Atticus Geiger, Joshua Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman |
| 2021 | AAAI | Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis. | Zhengxuan Wu, Desmond C. Ong |
| 2021 | ACL | DynaSent: A Dynamic Benchmark for Sentiment Analysis. | Christopher Potts, Zhengxuan Wu, Atticus Geiger, Douwe Kiela |
| 2021 | CHI | 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 |
| 2021 | NAACL | 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 |
| 2019 | ACII | Attending to Emotional Narratives. | Zhengxuan Wu, Xiyu Zhang, Zhi-Xuan Tan, Jamil Zaki, Desmond C. Ong |
| 2019 | CHI | 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 |