Aaron Mueller

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 42

Top Topics

Natural Language Learning

Text Classification

Top Venues

Publications

Aaron Mueller
Missed Causes and Ambiguous Effects: Counterfactuals Pose Challenges for Interpreting Neural Networks. CoRR (2024)
Aaron Mueller, Albert Webson, Jackson Petty, Tal Linzen
In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax. NAACL-HLT (2024)
Jaden Fiotto-Kaufman, Alexander R. Loftus, Eric Todd, Jannik Brinkmann, Caden Juang, Koyena Pal, Can Rager, Aaron Mueller, Samuel Marks, Arnab Sen Sharma, Francesca Lucchetti, Michael Ripa, Adam Belfki, Nikhil Prakash, Sumeet Multani, Carla E. Brodley, Arjun Guha, Jonathan Bell, Byron C. Wallace, David Bau
NNsight and NDIF: Democratizing Access to Foundation Model Internals. CoRR (2024)
Eric Todd, Millicent L. Li, Arnab Sen Sharma, Aaron Mueller, Byron C. Wallace, David Bau
Function Vectors in Large Language Models. ICLR (2024)
Leshem Choshen, Ryan Cotterell, Michael Y. Hu, Tal Linzen, Aaron Mueller, Candace Ross, Alex Warstadt, Ethan Wilcox, Adina Williams, Chengxu Zhuang
[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. CoRR (2024)
Samuel Marks, Can Rager, Eric J. Michaud, Yonatan Belinkov, David Bau, Aaron Mueller
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models. CoRR (2024)
Alex Warstadt, Leshem Choshen, Aaron Mueller, Adina Williams, Ethan Wilcox, Chengxu Zhuang
Call for Papers - The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. CoRR (2023)
Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez
Inverse Scaling: When Bigger Isn't Better. CoRR (2023)
Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams
Language model acceptability judgements are not always robust to context. ACL (1) (2023)
Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. ACL (1) (2023)
Aaron Mueller, Albert Webson, Jackson Petty, Tal Linzen
In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax. CoRR (2023)
Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. ACL (Findings) (2023)
Aaron Mueller, Tal Linzen
How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases. ACL (1) (2023)
Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez
Inverse Scaling: When Bigger Isn't Better. Trans. Mach. Learn. Res. 2023 (2023)
Aaron Mueller, Tal Linzen
How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases. CoRR (2023)
Eric Todd, Millicent L. Li, Arnab Sen Sharma, Aaron Mueller, Byron C. Wallace, David Bau
Function Vectors in Large Language Models. CoRR (2023)
Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. CoRR (2023)
Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. CoRR (2022)
Aaron Mueller, Jason Krone, Salvatore Romeo, Saab Mansour, Elman Mansimov, Yi Zhang, Dan Roth
Label Semantic Aware Pre-training for Few-shot Text Classification. ACL (1) (2022)
Aaron Mueller, Robert Frank, Tal Linzen, Luheng Wang, Sebastian Schuster
Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models. ACL (Findings) (2022)
Aaron Mueller, Yu Xia, Tal Linzen
Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models. CoNLL (2022)
Aaron Mueller, Yu Xia, Tal Linzen
Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models. CoRR (2022)
Aaron Mueller, Robert Frank, Tal Linzen, Luheng Wang, Sebastian Schuster
Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models. CoRR (2022)
Alexandra DeLucia, Shijie Wu, Aaron Mueller, Carlos Aguirre, Philip Resnik, Mark Dredze
Bernice: A Multilingual Pre-trained Encoder for Twitter. EMNLP (2022)
Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams
Language model acceptability judgements are not always robust to context. CoRR (2022)
Aaron Mueller, Jason Krone, Salvatore Romeo, Saab Mansour, Elman Mansimov, Yi Zhang, Dan Roth
Label Semantic Aware Pre-training for Few-shot Text Classification. CoRR (2022)
Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann, Stuart M. Shieber, Tal Linzen, Yonatan Belinkov
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models. CoRR (2021)
Aaron Mueller, Zach Wood-Doughty, Silvio Amir, Mark Dredze, Alicia Lynn Nobles
Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement. Proc. ACM Hum. Comput. Interact. 5 (CSCW1) (2021)
Aaron Mueller, Mark Dredze
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling. NAACL-HLT (2021)
Aaron Mueller, Mark Dredze
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling. CoRR (2021)
Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann, Stuart M. Shieber, Tal Linzen, Yonatan Belinkov
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models. ACL/IJCNLP (1) (2021)
Aaron Mueller, Zach Wood-Doughty, Silvio Amir, Mark Dredze, Alicia L. Nobles
Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement. CoRR (2020)
Aaron Mueller, Garrett Nicolai, Panayiota Petrou-Zeniou, Natalia Talmina, Tal Linzen
Cross-Linguistic Syntactic Evaluation of Word Prediction Models. ACL (2020)
Arya D. McCarthy, Rachel Wicks, Dylan Lewis, Aaron Mueller, Winston Wu, Oliver Adams, Garrett Nicolai, Matt Post, David Yarowsky
The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration. LREC (2020)
Alexandra DeLucia, Aaron Mueller, Xiang Lisa Li, João Sedoc
Decoding Methods for Neural Narrative Generation. CoRR (2020)
Aaron Mueller, Garrett Nicolai, Arya D. McCarthy, Dylan Lewis, Winston Wu, David Yarowsky
An Analysis of Massively Multilingual Neural Machine Translation for Low-Resource Languages. LREC (2020)
Aaron Mueller, Garrett Nicolai, Panayiota Petrou-Zeniou, Natalia Talmina, Tal Linzen
Cross-Linguistic Syntactic Evaluation of Word Prediction Models. CoRR (2020)
Garrett Nicolai, Dylan Lewis, Arya D. McCarthy, Aaron Mueller, Winston Wu, David Yarowsky
Fine-grained Morphosyntactic Analysis and Generation Tools for More Than One Thousand Languages. LREC (2020)
Marten van Schijndel, Aaron Mueller, Tal Linzen
Quantity doesn't buy quality syntax with neural language models. CoRR (2019)
Marten van Schijndel, Aaron Mueller, Tal Linzen
Quantity doesn't buy quality syntax with neural language models. EMNLP/IJCNLP (1) (2019)
Arya D. McCarthy, Winston Wu, Aaron Mueller, Bill Watson, David Yarowsky
Modeling Color Terminology Across Thousands of Languages. EMNLP/IJCNLP (1) (2019)
Arya D. McCarthy, Winston Wu, Aaron Mueller, Bill Watson, David Yarowsky
Modeling Color Terminology Across Thousands of Languages. CoRR (2019)