Zhengxuan Wu - RankMe

71 papers A* 14B 2Journal 43Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Language Model Circuits Are Sparse in the Neuron Basis. CoRR Aryaman Arora, Zhengxuan Wu, Jacob Steinhardt, Sarah Schwettmann
2025	A*	`conf`	AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders. ICML Zhengxuan Wu, Aryaman Arora, Atticus Geiger, Zheng Wang, Jing Huang, Dan Jurafsky, Christopher D. Manning, Christopher Potts
2025	J	`jnl`	AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders. CoRR Zhengxuan Wu, Aryaman Arora, Atticus Geiger, Zheng Wang, Jing Huang, Dan Jurafsky, Christopher D. Manning, Christopher Potts
2025	J	`jnl`	Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability. J. Mach. Learn. Res. Atticus Geiger, Duligur Ibeling, Amir Zur, Maheep Chaudhary, Sonakshi Chauhan, Jing Huang, Aryaman Arora, Zhengxuan Wu, Noah D. Goodman, Christopher Potts, Thomas Icard
2025	J	`jnl`	GIM: Improved Interpretability for Large Language Models. CoRR Joakim Edin, Róbert Csordás, Tuukka Ruotsalo, Zhengxuan Wu, Maria Maistro, Jing Huang, Lars Maaløe
2025	J	`jnl`	HyperSteer: Activation Steering at Scale with Hypernetworks. CoRR Jiuding Sun, Sidharth Baskaran, Zhengxuan Wu, Michael Sklar, Christopher Potts, Atticus Geiger
2025	J	`jnl`	Improved Representation Steering for Language Models. CoRR Zhengxuan Wu, Qinan Yu, Aryaman Arora, Christopher D. Manning, Christopher Potts
2025	J	`jnl`	LLMs Encode Harmfulness and Refusal Separately. CoRR Jiachen Zhao, Jing Huang, Zhengxuan Wu, David Bau, Weiyan Shi
2024	J	`jnl`	A Reply to Makelov et al. (2023)'s "Interpretability Illusion" Arguments. CoRR Zhengxuan Wu, Atticus Geiger, Jing Huang, Aryaman Arora, Thomas Icard, Christopher Potts, Noah D. Goodman
2024	A*	`conf`	Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models. EMNLP Zhengxuan Wu, Yuhao Zhang, Peng Qi, Yumo Xu, Rujun Han, Yian Zhang, Jifan Chen, Bonan Min, Zhiheng Huang
2024	J	`jnl`	Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models. CoRR Zhengxuan Wu, Yuhao Zhang, Peng Qi, Yumo Xu, Rujun Han, Yian Zhang, Jifan Chen, Bonan Min, Zhiheng Huang
2024	—	`conf`	Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations. CLeaR Atticus Geiger, Zhengxuan Wu, Christopher Potts, Thomas Icard, Noah D. Goodman
2024	A*	`conf`	In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation. ICML Shiqi Chen, Miao Xiong, Junteng Liu, Zhengxuan Wu, Teng Xiao, Siyang Gao, Junxian He
2024	J	`jnl`	In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation. CoRR Shiqi Chen, Miao Xiong, Junteng Liu, Zhengxuan Wu, Teng Xiao, Siyang Gao, Junxian He
2024	J	`jnl`	Mapping the Increasing Use of LLMs in Scientific Papers. CoRR 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
2024	—	`conf`	RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations. ACL (1) Jing Huang, Zhengxuan Wu, Christopher Potts, Mor Geva, Atticus Geiger
2024	J	`jnl`	RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations. CoRR Jing Huang, Zhengxuan Wu, Christopher Potts, Mor Geva, Atticus Geiger
2024	A*	`conf`	ReFT: Representation Finetuning for Language Models. NeurIPS Zhengxuan Wu, Aryaman Arora, Zheng Wang, Atticus Geiger, Dan Jurafsky, Christopher D. Manning, Christopher Potts
2024	J	`jnl`	ReFT: Representation Finetuning for Language Models. CoRR Zhengxuan Wu, Aryaman Arora, Zheng Wang, Atticus Geiger, Dan Jurafsky, Christopher D. Manning, Christopher Potts
2024	B	`conf`	Symbolic Variables in Distributed Networks that Count. CogSci Satchel Grant, Zhengxuan Wu, Jay McClelland, Noah D. Goodman
2024	—	`conf`	pyvene: A Library for Understanding and Improving PyTorch Models via Interventions. NAACL (Demonstrations) Zhengxuan Wu, Atticus Geiger, Aryaman Arora, Jing Huang, Zheng Wang, Noah D. Goodman, Christopher D. Manning, Christopher Potts
2024	J	`jnl`	pyvene: A Library for Understanding and Improving PyTorch Models via Interventions. CoRR Zhengxuan Wu, Atticus Geiger, Aryaman Arora, Jing Huang, Zheng Wang, Noah D. Goodman, Christopher D. Manning, Christopher Potts
2023	A*	`conf`	Causal Proxy Models for Concept-based Model Explanations. ICML Zhengxuan Wu, Karel D'Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts
2023	J	`jnl`	Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations. CoRR Atticus Geiger, Zhengxuan Wu, Christopher Potts, Thomas Icard, Noah D. Goodman
2023	—	`conf`	Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training. ACL (Findings) Jing Huang, Zhengxuan Wu, Kyle Mahowald, Christopher Potts
2023	A*	`conf`	Interpretability at Scale: Identifying Causal Mechanisms in Alpaca. NeurIPS Zhengxuan Wu, Atticus Geiger, Thomas Icard, Christopher Potts, Noah D. Goodman
2023	J	`jnl`	Interpretability at Scale: Identifying Causal Mechanisms in Alpaca. CoRR Zhengxuan Wu, Atticus Geiger, Christopher Potts, Noah D. Goodman
2023	A*	`conf`	MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. EMNLP Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen
2023	J	`jnl`	MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. CoRR Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen
2023	A*	`conf`	Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies. EMNLP Zhengxuan Wu, Alex Tamkin, Isabel Papadimitriou
2023	J	`jnl`	ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation. CoRR Zhengxuan Wu, Christopher D. Manning, Christopher Potts
2023	J	`jnl`	ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation. Trans. Assoc. Comput. Linguistics Zhengxuan Wu, Christopher D. Manning, Christopher Potts
2023	—	`conf`	Rigorously Assessing Natural Language Explanations of Neurons. BlackboxNLP@EMNLP Jing Huang, Atticus Geiger, Karel D'Oosterlinck, Zhengxuan Wu, Christopher Potts
2023	J	`jnl`	Rigorously Assessing Natural Language Explanations of Neurons. CoRR Jing Huang, Atticus Geiger, Karel D'Oosterlinck, Zhengxuan Wu, Christopher Potts
2022	A*	`conf`	CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior. NeurIPS Eldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu
2022	J	`jnl`	CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior. CoRR Eldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu
2022	—	`conf`	Causal Distillation for Language Models. NAACL-HLT Zhengxuan Wu, Atticus Geiger, Joshua Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman
2022	J	`jnl`	Causal Proxy Models for Concept-Based Model Explanations. CoRR Zhengxuan Wu, Karel D'Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts
2022	—	`conf`	Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models. RepL4NLP@ACL Zhengxuan Wu, Nelson F. Liu, Christopher Potts
2022	A*	`conf`	Inducing Causal Structure for Interpretable Neural Networks. ICML Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts
2022	J	`jnl`	Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training. CoRR Jing Huang, Zhengxuan Wu, Kyle Mahowald, Christopher Potts
2022	J	`jnl`	Oolong: Investigating What Makes Crosslingual Transfer Hard with Controlled Studies. CoRR Zhengxuan Wu, Isabel Papadimitriou, Alex Tamkin
2022	A*	`conf`	ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time. NeurIPS Tailin Wu, Megan Tjandrasuwita, Zhengxuan Wu, Xuelin Yang, Kevin Liu, Rok Sosic, Jure Leskovec
2022	J	`jnl`	ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time. CoRR Tailin Wu, Megan Tjandrasuwita, Zhengxuan Wu, Xuelin Yang, Kevin Liu, Rok Sosic, Jure Leskovec
2021	J	`jnl`	Attention uncovers task-relevant semantics in emotional narrative understanding. Knowl. Based Syst. Thanh-Son Nguyen, Zhengxuan Wu, Desmond C. Ong
2021	J	`jnl`	Causal Distillation for Language Models. CoRR Zhengxuan Wu, Atticus Geiger, Josh Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman
2021	A*	`conf`	Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis. AAAI Zhengxuan Wu, Desmond C. Ong
2021	—	`conf`	DynaSent: A Dynamic Benchmark for Sentiment Analysis. ACL/IJCNLP (1) Christopher Potts, Zhengxuan Wu, Atticus Geiger, Douwe Kiela
2021	—	`conf`	Dynabench: Rethinking Benchmarking in NLP. NAACL-HLT 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
2021	J	`jnl`	Dynabench: Rethinking Benchmarking in NLP. CoRR 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
2021	J	`jnl`	Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models. CoRR Zhengxuan Wu, Nelson F. Liu, Christopher Potts
2021	J	`jnl`	Inducing Causal Structure for Interpretable Neural Networks. CoRR Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts
2021	J	`jnl`	Modeling Emotion in Complex Stories: The Stanford Emotional Narratives Dataset. IEEE Trans. Affect. Comput. Desmond C. Ong, Zhengxuan Wu, Zhi-Xuan Tan, Marianne Reddan, Isabella Kahhale, Alison Mattek, Jamil Zaki
2021	A*	`conf`	Not Now, Ask Later: Users Weaken Their Behavior Change Regimen Over Time, But Expect To Re-Strengthen It Imminently. CHI Geza Kovacs, Zhengxuan Wu, Michael S. Bernstein
2021	J	`jnl`	Not Now, Ask Later: Users Weaken Their Behavior Change Regimen Over Time, But Expect To Re-Strengthen It Imminently. CoRR Geza Kovacs, Zhengxuan Wu, Michael S. Bernstein
2021	J	`jnl`	On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification. CoRR Zhengxuan Wu, Desmond C. Ong
2021	—	`conf`	ReaSCAN: Compositional Reasoning in Language Grounding. NeurIPS Datasets and Benchmarks Zhengxuan Wu, Elisa Kreiss, Desmond C. Ong, Christopher Potts
2021	J	`jnl`	ReaSCAN: Compositional Reasoning in Language Grounding. CoRR Zhengxuan Wu, Elisa Kreiss, Desmond C. Ong, Christopher Potts
2020	J	`jnl`	Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis. CoRR Zhengxuan Wu, Desmond C. Ong
2020	J	`jnl`	DynaSent: A Dynamic Benchmark for Sentiment Analysis. CoRR Christopher Potts, Zhengxuan Wu, Atticus Geiger, Douwe Kiela
2020	J	`jnl`	Pragmatically Informative Color Generation by Grounding Contextual Modifiers. CoRR Zhengxuan Wu, Desmond C. Ong
2020	J	`jnl`	Structured Self-Attention Weights Encode Semantics in Sentiment Analysis. CoRR Zhengxuan Wu, Thanh-Son Nguyen, Desmond C. Ong
2020	—	`conf`	Structured Self-AttentionWeights Encode Semantics in Sentiment Analysis. BlackboxNLP@EMNLP Zhengxuan Wu, Thanh-Son Nguyen, Desmond C. Ong
2019	B	`conf`	Attending to Emotional Narratives. ACII Zhengxuan Wu, Xiyu Zhang, Zhi-Xuan Tan, Jamil Zaki, Desmond C. Ong
2019	J	`jnl`	Attending to Emotional Narratives. CoRR Zhengxuan Wu, Xiyu Zhang, Zhi-Xuan Tan, Jamil Zaki, Desmond C. Ong
2019	A*	`conf`	Conservation of Procrastination: Do Productivity Interventions Save Time Or Just Redistribute It? CHI Geza Kovacs, Drew Mylander Gregory, Zilin Ma, Zhengxuan Wu, Golrokh Emami, Jacob Ray, Michael S. Bernstein
2019	—	`conf`	Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives. NLPCC (2) Zhengxuan Wu, Yueyi Jiang
2019	J	`jnl`	Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives. CoRR Zhengxuan Wu, Yueyi Jiang
2019	J	`jnl`	Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset. CoRR Desmond C. Ong, Zhengxuan Wu, Zhi-Xuan Tan, Marianne Reddan, Isabella Kahhale, Alison Mattek, Jamil Zaki
2019	J	`jnl`	Uncovering Political Promotion in China: A Network Analysis of Patronage Relationship in Autocracy. CoRR Zhengxuan Wu, Jason Luo, Xiyu Zhang
2018	J	`jnl`	Rotating Online Behavior Change Interventions Increases Effectiveness But Also Increases Attrition. Proc. ACM Hum. Comput. Interact. Geza Kovacs, Zhengxuan Wu, Michael S. Bernstein