Aaron Mueller - RankMe

79 papers A* 8B 5Journal 49Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BabyLM Turns 4 and Goes Multilingual: Call for Papers for the 2026 BabyLM Workshop. CoRR Leshem Choshen, Ryan Cotterell, Mustafa Omer Gul, Jaap Jumelet, Tal Linzen, Aaron Mueller, Suchir Salhan, Raj Sanjay Shah, Alex Warstadt, Ethan Gotlieb Wilcox
2026	J	`jnl`	Causality is Key for Interpretability Claims to Generalise. CoRR Shruti Joshi, Aaron Mueller, David A. Klindt, Wieland Brendel, Patrik Reizinger, Dhanya Sridhar
2026	—	`conf`	Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection. EACL (Findings) Joe Stacey, Lisa Alazraki, Aran Ubhi, Beyza Ermis, Aaron Mueller, Marek Rei
2026	—	`conf`	Measuring Mechanistic Independence: Can Bias Be Removed Without Erasing Demographics? EACL (Volume 1: Long Papers) Zhengyang Shan, Aaron Mueller
2026	J	`jnl`	Mechanisms of AI Protein Folding in ESMFold. CoRR Kevin Lu, Jannik Brinkmann, Stefan Huber, Aaron Mueller, Yonatan Belinkov, David Bau, Chris Wendler
2026	J	`jnl`	Pitfalls in Evaluating Interpretability Agents. CoRR Tal Haklay, Nikhil Prakash, Sana Pandey, Antonio Torralba, Aaron Mueller, Jacob Andreas, Tamar Rott Shaham, Yonatan Belinkov
2025	A*	`conf`	Arithmetic Without Algorithms: Language Models Solve Math with a Bag of Heuristics. ICLR Yaniv Nikankin, Anja Reusch, Aaron Mueller, Yonatan Belinkov
2025	J	`jnl`	BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop. CoRR Lucas Charpentier, Leshem Choshen, Ryan Cotterell, Mustafa Omer Gul, Michael Y. Hu, Jaap Jumelet, Tal Linzen, Jing Liu, Aaron Mueller, Candace Ross, Raj Sanjay Shah, Alex Warstadt, Ethan Wilcox, Adina Williams
2025	J	`jnl`	BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models. CoRR Shengao Wang, Wenqi Wang, Zecheng Wang, Max Whitton, Michael Wakeham, Arjun Chandra, Joey Huang, Pengyue Zhu, Helen Chen, David Li, Jeffrey Li, Shawn Li, Andrew Zagula, Amy Zhao, Andrew Zhu, Sayaka Nakamura, Yuki Yamamoto, Jerry Jun Yokono, Aaron Mueller, Bryan A. Plummer, Kate Saenko, Venkatesh Saligrama, Boqing Gong
2025	J	`jnl`	CRISP: Persistent Concept Unlearning via Sparse Autoencoders. CoRR Tomer Ashuach, Dana Arad, Aaron Mueller, Martin Tutek, Yonatan Belinkov
2025	—	`conf`	Characterizing the Role of Similarity in the Property Inferences of Language Models. NAACL (Long Papers) Juan Diego Rodriguez, Aaron Mueller, Kanishka Misra
2025	J	`jnl`	Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining. CoRR Deniz Bayazit, Aaron Mueller, Antoine Bosselut
2025	J	`jnl`	Disjoint Processing Mechanisms of Hierarchical and Linear Grammars in Large Language Models. CoRR Aruna Sankaranarayanan, Dylan Hadfield-Menell, Aaron Mueller
2025	J	`jnl`	Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora. CoRR Alex Warstadt, Aaron Mueller, Leshem Choshen, Ethan Wilcox, Chengxu Zhuang, Juan Ciro, Rafael Mosquera, Bhargavi Paranjape, Adina Williams, Tal Linzen, Ryan Cotterell
2025	J	`jnl`	Findings of the BlackboxNLP 2025 Shared Task: Localizing Circuits and Causal Variables in Language Models. CoRR Dana Arad, Yonatan Belinkov, Hanjie Chen, Najoung Kim, Hosein Mohebbi, Aaron Mueller, Gabriele Sarti, Martin Tutek
2025	J	`jnl`	From Isolation to Entanglement: When Do Interpretability Methods Identify and Disentangle Known Concepts? CoRR Aaron Mueller, Andrew Lee, Shruti Joshi, Ekdeep Singh Lubana, Dhanya Sridhar, Patrik Reizinger
2025	J	`jnl`	How to Improve the Robustness of Closed-Source Models on NLI. CoRR Joe Stacey, Lisa Alazraki, Aran Ubhi, Beyza Ermis, Aaron Mueller, Marek Rei
2025	J	`jnl`	In-Context Learning Without Copying. CoRR Kerem Sahin, Sheridan Feucht, Adam Belfki, Jannik Brinkmann, Aaron Mueller, David Bau, Chris Wendler
2025	—	`conf`	Incremental Sentence Processing Mechanisms in Autoregressive Transformer Language Models. NAACL (Long Papers) Michael Hanna, Aaron Mueller
2025	—	`conf`	Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages. NAACL (Long Papers) Jannik Brinkmann, Chris Wendler, Christian Bartelt, Aaron Mueller
2025	J	`jnl`	Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages. CoRR Jannik Brinkmann, Chris Wendler, Christian Bartelt, Aaron Mueller
2025	A*	`conf`	MIB: A Mechanistic Interpretability Benchmark. ICML Aaron Mueller, Atticus Geiger, Sarah Wiegreffe, Dana Arad, Iván Arcuschin, Adam Belfki, Yik Siu Chan, Jaden Fried Fiotto-Kaufman, Tal Haklay, Michael Hanna, Jing Huang, Rohan Gupta, Yaniv Nikankin, Hadas Orgad, Nikhil Prakash, Anja Reusch, Aruna Sankaranarayanan, Shun Shao, Alessandro Stolfo, Martin Tutek, Amir Zur, David Bau, Yonatan Belinkov
2025	J	`jnl`	MIB: A Mechanistic Interpretability Benchmark. CoRR Aaron Mueller, Atticus Geiger, Sarah Wiegreffe, Dana Arad, Iván Arcuschin, Adam Belfki, Yik Siu Chan, Jaden Fiotto-Kaufman, Tal Haklay, Michael Hanna, Jing Huang, Rohan Gupta, Yaniv Nikankin, Hadas Orgad, Nikhil Prakash, Anja Reusch, Aruna Sankaranarayanan, Shun Shao, Alessandro Stolfo, Martin Tutek, Amir Zur, David Bau, Yonatan Belinkov
2025	J	`jnl`	Measuring Mechanistic Independence: Can Bias Be Removed Without Erasing Demographics? CoRR Zhengyang Shan, Aaron Mueller
2025	A*	`conf`	NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals. ICLR Jaden Fried Fiotto-Kaufman, Alexander Russell Loftus, Eric Todd, Jannik Brinkmann, Koyena Pal, Dmitrii Troitskii, Michael Ripa, Adam Belfki, Can Rager, Caden Juang, Aaron Mueller, Samuel Marks, Arnab Sen Sharma, Francesca Lucchetti, Nikhil Prakash, Carla E. Brodley, Arjun Guha, Jonathan Bell, Byron C. Wallace, David Bau
2025	—	`conf`	Position-aware Automatic Circuit Discovery. ACL (1) Tal Haklay, Hadas Orgad, David Bau, Aaron Mueller, Yonatan Belinkov
2025	J	`jnl`	Position-aware Automatic Circuit Discovery. CoRR Tal Haklay, Hadas Orgad, David Bau, Aaron Mueller, Yonatan Belinkov
2025	J	`jnl`	Priors in Time: Missing Inductive Biases for Language Model Interpretability. CoRR Ekdeep Singh Lubana, Can Rager, Sai Sumedh R. Hindupur, Valérie Costa, Greta Tuckute, Oam Patel, Sonia Krishna Murthy, Thomas Fel, Daniel Wurgaft, Eric J. Bigelow, Johnny Lin, Demba E. Ba, Martin Wattenberg, Fernanda B. Viégas, Melanie Weber, Aaron Mueller
2025	A*	`conf`	SAEs Are Good for Steering - If You Select the Right Features. EMNLP Dana Arad, Aaron Mueller, Yonatan Belinkov
2025	J	`jnl`	SAEs Are Good for Steering - If You Select the Right Features. CoRR Dana Arad, Aaron Mueller, Yonatan Belinkov
2025	A*	`conf`	Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models. ICLR Samuel Marks, Can Rager, Eric J. Michaud, Yonatan Belinkov, David Bau, Aaron Mueller
2024	J	`jnl`	Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics. CoRR Yaniv Nikankin, Anja Reusch, Aaron Mueller, Yonatan Belinkov
2024	J	`jnl`	Characterizing the Role of Similarity in the Property Inferences of Language Models. CoRR Juan Diego Rodriguez, Aaron Mueller, Kanishka Misra
2024	J	`jnl`	Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora. CoRR Michael Y. Hu, Aaron Mueller, Candace Ross, Adina Williams, Tal Linzen, Chengxu Zhuang, Ryan Cotterell, Leshem Choshen, Alex Warstadt, Ethan Gotlieb Wilcox
2024	A*	`conf`	Function Vectors in Large Language Models. ICLR Eric Todd, Millicent L. Li, Arnab Sen Sharma, Aaron Mueller, Byron C. Wallace, David Bau
2024	—	`conf`	In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax. NAACL-HLT Aaron Mueller, Albert Webson, Jackson Petty, Tal Linzen
2024	J	`jnl`	Incremental Sentence Processing Mechanisms in Autoregressive Transformer Language Models. CoRR Michael Hanna, Aaron Mueller
2024	B	`conf`	Insights from the first BabyLM Challenge: Training sample-efficient language models on a developmentally plausible corpus. CogSci Alex Warstadt, Aaron Mueller, Leshem Choshen, Ethan Gotlieb Wilcox, Chengxu Zhuang, Adina Williams, Ryan Cotterell, Tal Linzen
2024	J	`jnl`	Missed Causes and Ambiguous Effects: Counterfactuals Pose Challenges for Interpreting Neural Networks. CoRR Aaron Mueller
2024	J	`jnl`	NNsight and NDIF: Democratizing Access to Foundation Model Internals. CoRR 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
2024	J	`jnl`	Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models. CoRR Samuel Marks, Can Rager, Eric J. Michaud, Yonatan Belinkov, David Bau, Aaron Mueller
2024	J	`jnl`	The Quest for the Right Mediator: A History, Survey, and Theoretical Grounding of Causal Interpretability. CoRR 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
2024	J	`jnl`	[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. CoRR Leshem Choshen, Ryan Cotterell, Michael Y. Hu, Tal Linzen, Aaron Mueller, Candace Ross, Alex Warstadt, Ethan Wilcox, Adina Williams, Chengxu Zhuang
2023	J	`jnl`	Call for Papers - The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. CoRR Alex Warstadt, Leshem Choshen, Aaron Mueller, Adina Williams, Ethan Wilcox, Chengxu Zhuang
2023	J	`jnl`	Function Vectors in Large Language Models. CoRR Eric Todd, Millicent L. Li, Arnab Sen Sharma, Aaron Mueller, Byron C. Wallace, David Bau
2023	—	`conf`	How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases. ACL (1) Aaron Mueller, Tal Linzen
2023	J	`jnl`	How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases. CoRR Aaron Mueller, Tal Linzen
2023	J	`jnl`	In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax. CoRR Aaron Mueller, Albert Webson, Jackson Petty, Tal Linzen
2023	J	`jnl`	Inverse Scaling: When Bigger Isn't Better. CoRR 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
2023	J	`jnl`	Inverse Scaling: When Bigger Isn't Better. Trans. Mach. Learn. Res. 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
2023	—	`conf`	Language model acceptability judgements are not always robust to context. ACL (1) Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams
2023	—	`conf`	Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. ACL (Findings) Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz
2023	J	`jnl`	Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. CoRR Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz
2023	—	`conf`	What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. ACL (1) Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman
2022	A*	`conf`	Bernice: A Multilingual Pre-trained Encoder for Twitter. EMNLP Alexandra DeLucia, Shijie Wu, Aaron Mueller, Carlos Alejandro Aguirre, Philip Resnik, Mark Dredze
2022	B	`conf`	Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models. CoNLL Aaron Mueller, Yu Xia, Tal Linzen
2022	J	`jnl`	Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models. CoRR Aaron Mueller, Yu Xia, Tal Linzen
2022	—	`conf`	Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models. ACL (Findings) Aaron Mueller, Robert Frank, Tal Linzen, Luheng Wang, Sebastian Schuster
2022	J	`jnl`	Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models. CoRR Aaron Mueller, Robert Frank, Tal Linzen, Luheng Wang, Sebastian Schuster
2022	—	`conf`	Label Semantic Aware Pre-training for Few-shot Text Classification. ACL (1) Aaron Mueller, Jason Krone, Salvatore Romeo, Saab Mansour, Elman Mansimov, Yi Zhang, Dan Roth
2022	J	`jnl`	Label Semantic Aware Pre-training for Few-shot Text Classification. CoRR Aaron Mueller, Jason Krone, Salvatore Romeo, Saab Mansour, Elman Mansimov, Yi Zhang, Dan Roth
2022	J	`jnl`	Language model acceptability judgements are not always robust to context. CoRR Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams
2022	J	`jnl`	What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. CoRR Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman
2021	—	`conf`	Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models. ACL/IJCNLP (1) Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann, Stuart M. Shieber, Tal Linzen, Yonatan Belinkov
2021	J	`jnl`	Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models. CoRR Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann, Stuart M. Shieber, Tal Linzen, Yonatan Belinkov
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	—	`conf`	Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling. NAACL-HLT Aaron Mueller, Mark Dredze
2021	J	`jnl`	Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling. CoRR Aaron Mueller, Mark Dredze
2020	B	`conf`	An Analysis of Massively Multilingual Neural Machine Translation for Low-Resource Languages. LREC Aaron Mueller, Garrett Nicolai, Arya D. McCarthy, Dylan Lewis, Winston Wu, David Yarowsky
2020	A*	`conf`	Cross-Linguistic Syntactic Evaluation of Word Prediction Models. ACL Aaron Mueller, Garrett Nicolai, Panayiota Petrou-Zeniou, Natalia Talmina, Tal Linzen
2020	J	`jnl`	Cross-Linguistic Syntactic Evaluation of Word Prediction Models. CoRR Aaron Mueller, Garrett Nicolai, Panayiota Petrou-Zeniou, Natalia Talmina, Tal Linzen
2020	J	`jnl`	Decoding Methods for Neural Narrative Generation. CoRR Alexandra DeLucia, Aaron Mueller, Xiang Lisa Li, João Sedoc
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	B	`conf`	Fine-grained Morphosyntactic Analysis and Generation Tools for More Than One Thousand Languages. LREC Garrett Nicolai, Dylan Lewis, Arya D. McCarthy, Aaron Mueller, Winston Wu, David Yarowsky
2020	B	`conf`	The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration. LREC Arya D. McCarthy, Rachel Wicks, Dylan Lewis, Aaron Mueller, Winston Wu, Oliver Adams, Garrett Nicolai, Matt Post, David Yarowsky
2019	—	`conf`	Modeling Color Terminology Across Thousands of Languages. EMNLP/IJCNLP (1) Arya D. McCarthy, Winston Wu, Aaron Mueller, Bill Watson, David Yarowsky
2019	J	`jnl`	Modeling Color Terminology Across Thousands of Languages. CoRR Arya D. McCarthy, Winston Wu, Aaron Mueller, Bill Watson, David Yarowsky
2019	—	`conf`	Quantity doesn't buy quality syntax with neural language models. EMNLP/IJCNLP (1) Marten van Schijndel, Aaron Mueller, Tal Linzen
2019	J	`jnl`	Quantity doesn't buy quality syntax with neural language models. CoRR Marten van Schijndel, Aaron Mueller, Tal Linzen