Zach Wood-Doughty

27 papers A* 1C 1Misc 1Journal 16Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Don't Forget It! Conditional Sparse Autoencoder Clamping Works for Unlearning. CoRR Matthew Khoriaty, Andrii Shportko, Gustavo Mercier, Zach Wood-Doughty
2025	—	`conf`	Reliability of Topic Modeling. NAACL (Long Papers) Kayla Schroeder, Zach Wood-Doughty
2025	J	`jnl`	Segment Anything Model Is a Good Teacher for Local Feature Learning. IEEE Trans. Image Process. Jingqian Wu, Rongtao Xu, Zach Wood-Doughty, Changwei Wang, Shibiao Xu, Edmund Y. Lam
2024	Misc	`conf`	Audio-Journey: Open Domain Latent Diffusion Based Text-To-Audio Generation. ICASSP Jackson Michaels, Juncheng B. Li, Laura Yao, Lijun Yu, Zach Wood-Doughty, Florian Metze
2024	J	`jnl`	Can You Trust LLM Judgments? Reliability of LLM-as-a-Judge. CoRR Kayla Schroeder, Zach Wood-Doughty
2024	J	`jnl`	Controlling for Unobserved Confounding with Large Language Model Classification of Patient Smoking Status. CoRR Samuel Lee, Zach Wood-Doughty
2024	—	`conf`	DoubleLingo: Causal Estimation with Large Language Models. NAACL (Short Papers) Marko Veljanovski, Zach Wood-Doughty
2024	J	`jnl`	Reliability of Topic Modeling. CoRR Kayla Schroeder, Zach Wood-Doughty
2023	J	`jnl`	Segment Anything Model is a Good Teacher for Local Feature Learning. CoRR Jingqian Wu, Rongtao Xu, Zach Wood-Doughty, Changwei Wang
2023	J	`jnl`	The Proximal ID Algorithm. J. Mach. Learn. Res. Ilya Shpitser, Zach Wood-Doughty, Eric J. Tchetgen Tchetgen
2022	J	`jnl`	Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. Trans. Assoc. Comput. Linguistics Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang
2022	—	`conf`	Model Distillation for Faithful Explanations of Medical Code Predictions. BioNLP@ACL Zach Wood-Doughty, Isabel Cachola, Mark Dredze
2021	J	`jnl`	Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. CoRR Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang
2021	J	`jnl`	Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement. Proc. ACM Hum. Comput. Interact. Aaron Mueller, Zach Wood-Doughty, Silvio Amir, Mark Dredze, Alicia Lynn Nobles
2021	J	`jnl`	Faithful and Plausible Explanations of Medical Code Predictions. CoRR Zach Wood-Doughty, Isabel Cachola, Mark Dredze
2021	J	`jnl`	Generating Synthetic Text Data to Evaluate Causal Inference Methods. CoRR Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
2021	C	`conf`	Proxy Model Explanations for Time Series RNNs. ICMLA Zach Wood-Doughty, Isabel Cachola, Mark Dredze
2021	J	`jnl`	The Proximal ID Algorithm. CoRR Ilya Shpitser, Zach Wood-Doughty, Eric J. Tchetgen Tchetgen
2021	—	`conf`	Using Noisy Self-Reports to Predict Twitter User Demographics. SocialNLP@NAACL Zach Wood-Doughty, Paiheng Xu, Xiao Liu, Mark Dredze
2020	J	`jnl`	Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement. CoRR Aaron Mueller, Zach Wood-Doughty, Silvio Amir, Mark Dredze, Alicia L. Nobles
2020	J	`jnl`	Using Noisy Self-Reports to Predict Twitter User Demographics. CoRR Zach Wood-Doughty, Paiheng Xu, Xiao Liu, Mark Dredze
2018	A*	`conf`	Challenges of Using Text Classifiers for Causal Inference. EMNLP Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
2018	J	`jnl`	Challenges of Using Text Classifiers for Causal Inference. CoRR Zach Wood-Doughty, Ilya Shpitser, Mark Dredze
2018	—	`conf`	Convolutions Are All You Need (For Classifying Character Sequences). NUT@EMNLP Zach Wood-Doughty, Nicholas Andrews, Mark Dredze
2018	—	`conf`	Johns Hopkins or johnny-hopkins: Classifying Individuals versus Organizations on Twitter. PEOPLES@NAACL-HTL Zach Wood-Doughty, Praateek Mahajan, Mark Dredze
2018	—	`conf`	Predicting Twitter User Demographics from Names Alone. PEOPLES@NAACL-HTL Zach Wood-Doughty, Nicholas Andrews, Rebecca Marvin, Mark Dredze
2017	—	`conf`	How Does Twitter User Behavior Vary Across Demographic Groups? NLP+CSS@ACL Zach Wood-Doughty, Michael Smith, David A. Broniatowski, Mark Dredze