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2020 – today
- 2024
[c25]Jing Huang, Zhengxuan Wu, Christopher Potts, Mor Geva, Atticus Geiger:
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations. ACL (1) 2024: 8669-8687- [c24]Atticus Geiger, Zhengxuan Wu, Christopher Potts, Thomas Icard, Noah D. Goodman:
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations. CLeaR 2024: 160-187 - [c23]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. EMNLP 2024: 3942-3965 - [c22]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. ICML 2024 - [c21]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. NAACL (Demonstrations) 2024: 158-165 - [i32]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 abs/2401.12631 (2024) - [i31]Jing Huang, Zhengxuan Wu, Christopher Potts, Mor Geva, Atticus Geiger:
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations. CoRR abs/2402.17700 (2024) - [i30]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 abs/2403.01548 (2024) - [i29]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 abs/2403.07809 (2024) - [i28]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 abs/2404.01268 (2024) - [i27]Zhengxuan Wu, Aryaman Arora, Zheng Wang, Atticus Geiger, Dan Jurafsky, Christopher D. Manning, Christopher Potts:
ReFT: Representation Finetuning for Language Models. CoRR abs/2404.03592 (2024) - [i26]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 abs/2407.21417 (2024) - 2023
- [j4]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: 1719-1733 (2023) - [c20]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: 12163-12180 - [c19]Jing Huang, Atticus Geiger, Karel D'Oosterlinck, Zhengxuan Wu, Christopher Potts:
Rigorously Assessing Natural Language Explanations of Neurons. BlackboxNLP@EMNLP 2023: 317-331 - [c18]Zhengxuan Wu, Alex Tamkin, Isabel Papadimitriou:
Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies. EMNLP 2023: 3280-3289 - [c17]Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen:
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. EMNLP 2023: 15686-15702 - [c16]Zhengxuan Wu, Karel D'Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts:
Causal Proxy Models for Concept-based Model Explanations. ICML 2023: 37313-37334 - [c15]Zhengxuan Wu, Atticus Geiger, Thomas Icard, Christopher Potts, Noah D. Goodman:
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca. NeurIPS 2023 - [i25]Atticus Geiger, Zhengxuan Wu, Christopher Potts, Thomas Icard, Noah D. Goodman:
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations. CoRR abs/2303.02536 (2023) - [i24]Zhengxuan Wu, Christopher D. Manning, Christopher Potts:
ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation. CoRR abs/2303.13716 (2023) - [i23]Zhengxuan Wu, Atticus Geiger, Christopher Potts, Noah D. Goodman:
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca. CoRR abs/2305.08809 (2023) - [i22]Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen:
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. CoRR abs/2305.14795 (2023) - [i21]Jing Huang, Atticus Geiger, Karel D'Oosterlinck, Zhengxuan Wu, Christopher Potts:
Rigorously Assessing Natural Language Explanations of Neurons. CoRR abs/2309.10312 (2023) - 2022
- [c14]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: 7324-7338 - [c13]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: 4288-4295 - [c12]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 - [c11]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 - [c10]Zhengxuan Wu, Nelson F. Liu, Christopher Potts:
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models. RepL4NLP@ACL 2022: 100-110 - [i20]Zhengxuan Wu, Isabel Papadimitriou, Alex Tamkin:
Oolong: Investigating What Makes Crosslingual Transfer Hard with Controlled Studies. CoRR abs/2202.12312 (2022) - [i19]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 abs/2205.14140 (2022) - [i18]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 abs/2206.15049 (2022) - [i17]Zhengxuan Wu, Karel D'Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts:
Causal Proxy Models for Concept-Based Model Explanations. CoRR abs/2209.14279 (2022) - [i16]Jing Huang, Zhengxuan Wu, Kyle Mahowald, Christopher Potts:
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training. CoRR abs/2212.09897 (2022) - 2021
- [j3]Thanh-Son Nguyen, Zhengxuan Wu, Desmond C. Ong:
Attention uncovers task-relevant semantics in emotional narrative understanding. Knowl. Based Syst. 226: 107162 (2021) - [j2]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): 579-594 (2021) - [c9]Zhengxuan Wu, Desmond C. Ong:
Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis. AAAI 2021: 14094-14102 - [c8]Christopher Potts, Zhengxuan Wu, Atticus Geiger, Douwe Kiela:
DynaSent: A Dynamic Benchmark for Sentiment Analysis. ACL/IJCNLP (1) 2021: 2388-2404 - [c7]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: 229:1-229:14 - [c6]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: 4110-4124 - [c5]Zhengxuan Wu, Elisa Kreiss, Desmond C. Ong, Christopher Potts:
ReaSCAN: Compositional Reasoning in Language Grounding. NeurIPS Datasets and Benchmarks 2021 - [i15]Zhengxuan Wu, Desmond C. Ong:
On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification. CoRR abs/2101.00196 (2021) - [i14]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 abs/2101.11743 (2021) - [i13]Zhengxuan Wu, Nelson F. Liu, Christopher Potts:
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models. CoRR abs/2104.08410 (2021) - [i12]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 abs/2104.14337 (2021) - [i11]Zhengxuan Wu, Elisa Kreiss, Desmond C. Ong, Christopher Potts:
ReaSCAN: Compositional Reasoning in Language Grounding. CoRR abs/2109.08994 (2021) - [i10]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 abs/2112.00826 (2021) - [i9]Zhengxuan Wu, Atticus Geiger, Josh Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman:
Causal Distillation for Language Models. CoRR abs/2112.02505 (2021) - 2020
- [c4]Zhengxuan Wu, Thanh-Son Nguyen, Desmond C. Ong:
Structured Self-AttentionWeights Encode Semantics in Sentiment Analysis. BlackboxNLP@EMNLP 2020: 255-264 - [i8]Zhengxuan Wu, Desmond C. Ong:
Pragmatically Informative Color Generation by Grounding Contextual Modifiers. CoRR abs/2010.04372 (2020) - [i7]Zhengxuan Wu, Thanh-Son Nguyen, Desmond C. Ong:
Structured Self-Attention Weights Encode Semantics in Sentiment Analysis. CoRR abs/2010.04922 (2020) - [i6]Zhengxuan Wu, Desmond C. Ong:
Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis. CoRR abs/2010.07523 (2020) - [i5]Christopher Potts, Zhengxuan Wu, Atticus Geiger, Douwe Kiela:
DynaSent: A Dynamic Benchmark for Sentiment Analysis. CoRR abs/2012.15349 (2020)
2010 – 2019
- 2019
- [c3]Zhengxuan Wu, Xiyu Zhang, Zhi-Xuan Tan, Jamil Zaki, Desmond C. Ong:
Attending to Emotional Narratives. ACII 2019: 648-654 - [c2]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: 330 - [c1]Zhengxuan Wu, Yueyi Jiang:
Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives. NLPCC (2) 2019: 587-595 - [i4]Zhengxuan Wu, Jason Luo, Xiyu Zhang:
Uncovering Political Promotion in China: A Network Analysis of Patronage Relationship in Autocracy. CoRR abs/1902.00625 (2019) - [i3]Zhengxuan Wu, Xiyu Zhang, Zhi-Xuan Tan, Jamil Zaki, Desmond C. Ong:
Attending to Emotional Narratives. CoRR abs/1907.04197 (2019) - [i2]Zhengxuan Wu, Yueyi Jiang:
Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives. CoRR abs/1908.07817 (2019) - [i1]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 abs/1912.05008 (2019) - 2018
- [j1]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): 95:1-95:25 (2018)
Coauthor Index
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