Kyle Mahowald

According to our database, Kyle Mahowald authored at least 42 papers between 2012 and 2024.

Collaborative distances:

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

2024

Models Can and Should Embrace the Communicative Nature of Human-Generated Math.

Sasha Boguraev, Ben Lipkin, Leonie Weissweiler, Kyle Mahowald

CoRR, 2024

To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning.

Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, Greg Durrett

CoRR, 2024

Do they mean 'us'? Interpreting Referring Expressions in Intergroup Bias.

Venkata S. Govindarajan, Matianyu Zang, Kyle Mahowald, David Beaver, Junyi Jessy Li

CoRR, 2024

Participle-Prepended Nominals Have Lower Entropy Than Nominals Appended After the Participle.

Kristie Denlinger, Stephen Wechsler, Kyle Mahowald

CoRR, 2024

Language models align with human judgments on key grammatical constructions.

Jennifer Hu, Kyle Mahowald, Gary Lupyan, Anna A. Ivanova, Roger Levy

CoRR, 2024

Are Language Models More Like Libraries or Like Librarians? Bibliotechnism, the Novel Reference Problem, and the Attitudes of LLMs.

Harvey Lederman, Kyle Mahowald

CoRR, 2024

Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs.

Kanishka Misra, Kyle Mahowald

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently.

Kanishka Misra, Allyson Ettinger, Kyle Mahowald

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Do *they* mean 'us'? Interpreting Referring Expression variation under Intergroup Bias.

Venkata S. Govindarajan, Matianyu Zang, Kyle Mahowald, David Beaver, Junyi Jessy Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Mission: Impossible Language Models.

Julie Kallini, Isabel Papadimitriou, Richard Futrell, Kyle Mahowald, Christopher Potts

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Counterfactually Probing Language Identity in Multilingual Models.

Anirudh Srinivasan, Venkata Subrahmanyan Govindarajan, Kyle Mahowald

CoRR, 2023

Lil-Bevo: Explorations of Strategies for Training Language Models in More Humanlike Ways.

Venkata Subrahmanyan Govindarajan, Juan Diego Rodriguez, Kaj Bostrom, Kyle Mahowald

CoRR, 2023

Keep it Neutral: Using Natural Language Inference to Improve Generation.

Michail Mersinias, Kyle Mahowald

CoRR, 2023

Dissociating language and thought in large language models: a cognitive perspective.

Kyle Mahowald, Anna A. Ivanova, Idan Asher Blank, Nancy Kanwisher, Joshua B. Tenenbaum, Evelina Fedorenko

CoRR, 2023

Elaborative Simplification as Implicit Questions Under Discussion.

Yating Wu, William Sheffield, Kyle Mahowald, Junyi Jessy Li

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting the Optimality of Word Lengths.

Tiago Pimentel, Clara Meister, Ethan Wilcox, Kyle Mahowald, Ryan Cotterell

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

For Generated Text, Is NLI-Neutral Text the Best Text?

Michail Mersinias, Kyle Mahowald

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

A Discerning Several Thousand Judgments: GPT-3 Rates the Article + Adjective + Numeral + Noun Construction.

Kyle Mahowald

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training.

Jing Huang, Zhengxuan Wu, Kyle Mahowald, Christopher Potts

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

Counterfactual Probing for the Influence of Affect and Specificity on Intergroup Bias.

Venkata Subrahmanyan Govindarajan, David Beaver, Kyle Mahowald, Junyi Jessy Li

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

A Method for Studying Semantic Construal in Grammatical Constructions with Interpretable Contextual Embedding Spaces.

Gabriella Chronis, Kyle Mahowald, Katrin Erk

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

2022

longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks.

Venelin Kovatchev, Trina Chatterjee, Venkata Subrahmanyan Govindarajan, Jifan Chen, Eunsol Choi, Gabriella Chronis, Anubrata Das, Katrin Erk, Matthew Lease, Junyi Jessy Li, Yating Wu, Kyle Mahowald

CoRR, 2022

Grammatical cues are largely, but not completely, redundant with word meanings in natural language.

Kyle Mahowald, Evgeniia Diachek, Edward Gibson, Evelina Fedorenko, Richard Futrell

CoRR, 2022

What do tokens know about their characters and how do they know it?

Ayush Kaushal, Kyle Mahowald

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality.

Anuj Diwan, Layne Berry, Eunsol Choi, David Harwath, Kyle Mahowald

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

When classifying grammatical role, BERT doesn't care about word order... except when it matters.

Isabel Papadimitriou, Richard Futrell, Kyle Mahowald

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Uncontrolled corpus composition drives an apparent surge in cognitive distortions.

Benjamin Schmidt, Steven T. Piantadosi, Kyle Mahowald

Proc. Natl. Acad. Sci. USA, 2021

A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space.

Alex Jones, William Yang Wang, Kyle Mahowald

CoRR, 2021

Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP.

Josh Rozner, Christopher Potts, Kyle Mahowald

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

How (Non-)Optimal is the Lexicon?

Tiago Pimentel, Irene Nikkarinen, Kyle Mahowald, Ryan Cotterell, Damián E. Blasi

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

A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space.

Alexander Jones, William Yang Wang, Kyle Mahowald

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT.

Isabel Papadimitriou, Ethan A. Chi, Richard Futrell, Kyle Mahowald

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

With Little Power Comes Great Responsibility.

Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2018

Word Forms Are Structured for Efficient Use.

Kyle Mahowald, Isabelle Dautriche, Edward Gibson, Steven T. Piantadosi

Cogn. Sci., 2018

2017

Wordform Similarity Increases With Semantic Similarity: An Analysis of 100 Languages.

Isabelle Dautriche, Kyle Mahowald, Edward Gibson, Steven T. Piantadosi

Cogn. Sci., 2017

2016

Reliable individual-level neural markers of high-level language processing: A necessary precursor for relating neural variability to behavioral and genetic variability.

Kyle Mahowald, Evelina Fedorenko

NeuroImage, 2016

Syntactic processing is distributed across the language system.

Idan Blank, Zuzanna Balewski, Kyle Mahowald, Evelina Fedorenko

NeuroImage, 2016

Response to Liu, Xu, and Liang (2015) and Ferrer-i-Cancho and Gómez-Rodríguez (2015) on Dependency Length Minimization.

Richard Futrell, Kyle Mahowald, Edward Gibson

Glottometrics, 2016

Accommodating Presuppositions Is Inappropriate in Implausible Contexts.

Raj Singh, Evelina Fedorenko, Kyle Mahowald, Edward Gibson

Cogn. Sci., 2016

2015

A Pragmatic Account of Complexity in Definite Antecedent-Contained-Deletion Relative Clauses.

Edward Gibson, Pauline Jacobson, Peter Graff, Kyle Mahowald, Evelina Fedorenko, Steven T. Piantadosi

J. Semant., 2015

Quantifying Word Order Freedom in Dependency Corpora.

Richard Futrell, Kyle Mahowald, Edward Gibson

Proceedings of the Third International Conference on Dependency Linguistics, 2015

2012

A Naïve Bayes classifier for Shakespeare's second-person pronoun.

Kyle Mahowald

Lit. Linguistic Comput., 2012