Aaron Mueller

According to our database, Aaron Mueller authored at least 29 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Characterizing the Role of Similarity in the Property Inferences of Language Models.

Juan Diego Rodriguez, Aaron Mueller, Kanishka Misra

CoRR, 2024

Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics.

Yaniv Nikankin, Anja Reusch, Aaron Mueller, Yonatan Belinkov

CoRR, 2024

The Quest for the Right Mediator: A History, Survey, and Theoretical Grounding of Causal Interpretability.

Aaron Mueller, Jannik Brinkmann, Millicent L. Li, Samuel Marks, Koyena Pal, Nikhil Prakash, Can Rager, Aruna Sankaranarayanan, Arnab Sen Sharma, Jiuding Sun, Eric Todd, David Bau, Yonatan Belinkov

CoRR, 2024

NNsight and NDIF: Democratizing Access to Foundation Model Internals.

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

CoRR, 2024

Missed Causes and Ambiguous Effects: Counterfactuals Pose Challenges for Interpreting Neural Networks.

Aaron Mueller

CoRR, 2024

[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus.

Leshem Choshen, Ryan Cotterell, Michael Y. Hu, Tal Linzen, Aaron Mueller, Candace Ross, Alex Warstadt, Ethan Wilcox, Adina Williams, Chengxu Zhuang

CoRR, 2024

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models.

Samuel Marks, Can Rager, Eric J. Michaud, Yonatan Belinkov, David Bau, Aaron Mueller

CoRR, 2024

In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax.

Aaron Mueller, Albert Webson, Jackson Petty, Tal Linzen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Function Vectors in Large Language Models.

Eric Todd, Millicent L. Li, Arnab Sen Sharma, Aaron Mueller, Byron C. Wallace, David Bau

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Inverse Scaling: When Bigger Isn't Better.

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

Trans. Mach. Learn. Res., 2023

Call for Papers - The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus.

Alex Warstadt, Leshem Choshen, Aaron Mueller, Adina Williams, Ethan Wilcox, Chengxu Zhuang

CoRR, 2023

Language model acceptability judgements are not always robust to context.

Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Meta-training with Demonstration Retrieval for Efficient Few-shot Learning.

Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases.

Aaron Mueller, Tal Linzen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

What Do NLP Researchers Believe? Results of the NLP Community Metasurvey.

Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Bernice: A Multilingual Pre-trained Encoder for Twitter.

Alexandra DeLucia, Shijie Wu, Aaron Mueller, Carlos Aguirre, Philip Resnik, Mark Dredze

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models.

Aaron Mueller, Yu Xia, Tal Linzen

Proceedings of the 26th Conference on Computational Natural Language Learning, 2022

Label Semantic Aware Pre-training for Few-shot Text Classification.

Aaron Mueller, Jason Krone, Salvatore Romeo, Saab Mansour, Elman Mansimov, Yi Zhang, Dan Roth

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models.

Aaron Mueller, Robert Frank, Tal Linzen, Luheng Wang, Sebastian Schuster

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement.

Aaron Mueller, Zach Wood-Doughty, Silvio Amir, Mark Dredze, Alicia Lynn Nobles

Proc. ACM Hum. Comput. Interact., 2021

Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling.

Aaron Mueller, Mark Dredze

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models.

Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann, Stuart M. Shieber, Tal Linzen, Yonatan Belinkov

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Decoding Methods for Neural Narrative Generation.

Alexandra DeLucia, Aaron Mueller, Xiang Lisa Li, João Sedoc

CoRR, 2020

Fine-grained Morphosyntactic Analysis and Generation Tools for More Than One Thousand Languages.

Garrett Nicolai, Dylan Lewis, Arya D. McCarthy, Aaron Mueller, Winston Wu, David Yarowsky

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

An Analysis of Massively Multilingual Neural Machine Translation for Low-Resource Languages.

Aaron Mueller, Garrett Nicolai, Arya D. McCarthy, Dylan Lewis, Winston Wu, David Yarowsky

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration.

Arya D. McCarthy, Rachel Wicks, Dylan Lewis, Aaron Mueller, Winston Wu, Oliver Adams, Garrett Nicolai, Matt Post, David Yarowsky

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Cross-Linguistic Syntactic Evaluation of Word Prediction Models.

Aaron Mueller, Garrett Nicolai, Panayiota Petrou-Zeniou, Natalia Talmina, Tal Linzen

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Quantity doesn't buy quality syntax with neural language models.

Marten van Schijndel, Aaron Mueller, Tal Linzen

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Modeling Color Terminology Across Thousands of Languages.

Arya D. McCarthy, Winston Wu, Aaron Mueller, Bill Watson, David Yarowsky

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019