A Naïve Bayes classifier for Shakespeare's second-person pronoun. - Kyle Mahowald (Lit. Linguistic Comput., 2012)

Quantifying Word Order Freedom in Dependency Corpora. - Richard Futrell; Kyle Mahowald; Edward Gibson (DepLing, 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)

Accommodating Presuppositions Is Inappropriate in Implausible Contexts. - Raj Singh; Evelina Fedorenko; Kyle Mahowald; Edward Gibson (Cogn. Sci., 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)

Syntactic processing is distributed across the language system. - Idan Blank; Zuzanna Balewski; Kyle Mahowald; Evelina Fedorenko (NeuroImage, 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)

Wordform Similarity Increases With Semantic Similarity: An Analysis of 100 Languages. - Isabelle Dautriche; Kyle Mahowald; Edward Gibson; Steven T. Piantadosi (Cogn. Sci., 2017)

Word Forms Are Structured for Efficient Use. - Kyle Mahowald; Isabelle Dautriche; Edward Gibson; Steven T. Piantadosi (Cogn. Sci., 2018)

With Little Power Comes Great Responsibility. - Dallas Card; Peter Henderson 002; Urvashi Khandelwal; Robin Jia; Kyle Mahowald; Dan Jurafsky (EMNLP (1), 2020)

Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT. - Isabel Papadimitriou; Ethan A. Chi; Richard Futrell; Kyle Mahowald (EACL, 2021)

A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space. - Alexander Jones; William Yang Wang; Kyle Mahowald (EMNLP (1), 2021)

How (Non-)Optimal is the Lexicon? - Tiago Pimentel; Irene Nikkarinen; Kyle Mahowald; Ryan Cotterell; Damián E. Blasi (NAACL-HLT, 2021)

Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP. - Josh Rozner; Christopher Potts; Kyle Mahowald (NeurIPS, 2021)

A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space. - Alex Jones; William Yang Wang; Kyle Mahowald (CoRR, 2021)

Uncontrolled corpus composition drives an apparent surge in cognitive distortions. - Benjamin Schmidt; Steven T. Piantadosi; Kyle Mahowald (Proc. Natl. Acad. Sci. USA, 2021)

When classifying grammatical role, BERT doesn't care about word order... except when it matters. - Isabel Papadimitriou; Richard Futrell; Kyle Mahowald (ACL (2), 2022)

Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality. - Anuj Diwan; Layne Berry; Eunsol Choi; David Harwath; Kyle Mahowald (EMNLP, 2022)

What do tokens know about their characters and how do they know it? - Ayush Kaushal; Kyle Mahowald (NAACL-HLT, 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)

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 001; Katrin Erk; Matthew Lease; Junyi Jessy Li; Yating Wu 002; Kyle Mahowald (CoRR, 2022)

A Method for Studying Semantic Construal in Grammatical Constructions with Interpretable Contextual Embedding Spaces. - Gabriella Chronis; Kyle Mahowald; Katrin Erk (ACL (1), 2023)

Counterfactual Probing for the Influence of Affect and Specificity on Intergroup Bias. - Venkata Subrahmanyan Govindarajan; David Beaver; Kyle Mahowald; Junyi Jessy Li (ACL (Findings), 2023)

Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training. - Jing Huang 014; Zhengxuan Wu; Kyle Mahowald; Christopher Potts (ACL (Findings), 2023)

A Discerning Several Thousand Judgments: GPT-3 Rates the Article + Adjective + Numeral + Noun Construction. - Kyle Mahowald (EACL, 2023)

For Generated Text, Is NLI-Neutral Text the Best Text? - Michail Mersinias; Kyle Mahowald (EMNLP (Findings), 2023)

Revisiting the Optimality of Word Lengths. - Tiago Pimentel; Clara Meister; Ethan Wilcox; Kyle Mahowald; Ryan Cotterell (EMNLP, 2023)

Elaborative Simplification as Implicit Questions Under Discussion. - Yating Wu 002; William Sheffield; Kyle Mahowald; Junyi Jessy Li (EMNLP, 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)

Keep it Neutral: Using Natural Language Inference to Improve Generation. - Michail Mersinias; 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)

Counterfactually Probing Language Identity in Multilingual Models. - Anirudh Srinivasan; Venkata Subrahmanyan Govindarajan; Kyle Mahowald (CoRR, 2023)

Mission: Impossible Language Models. - Julie Kallini; Isabel Papadimitriou; Richard Futrell; Kyle Mahowald; Christopher Potts (ACL (1), 2024)

Do *they* mean 'us'? Interpreting Referring Expression variation under Intergroup Bias. - Venkata S. Govindarajan; Matianyu Zang; Kyle Mahowald; David Beaver; Junyi Jessy Li (EMNLP (Findings), 2024)

Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently. - Kanishka Misra; Allyson Ettinger; Kyle Mahowald (EMNLP, 2024)

Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs. - Kanishka Misra; Kyle Mahowald (EMNLP, 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 align with human judgments on key grammatical constructions. - Jennifer Hu 001; Kyle Mahowald; Gary Lupyan; Anna A. Ivanova; Roger Levy (CoRR, 2024)

Participle-Prepended Nominals Have Lower Entropy Than Nominals Appended After the Participle. - Kristie Denlinger; Stephen Wechsler; Kyle Mahowald (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)

Models Can and Should Embrace the Communicative Nature of Human-Generated Math. - Sasha Boguraev; Ben Lipkin; Leonie Weissweiler; Kyle Mahowald (CoRR, 2024)

Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs. - William Berkeley Sheffield; Kanishka Misra; Valentina Pyatkin; Ashwini Deo; Kyle Mahowald; Junyi Jessy Li (ACL (Findings), 2025)

To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning. - Zayne Rea Sprague; Fangcong Yin; Juan Diego Rodriguez; Dongwei Jiang; Manya Wadhwa; Prasann Singhal; Xinyu Zhao; Xi Ye; Kyle Mahowald; Greg Durrett (ICLR, 2025)

How Linguistics Learned to Stop Worrying and Love the Language Models. - Richard Futrell; Kyle Mahowald (CoRR, 2025)

Linguistic Generalizations are not Rules: Impacts on Evaluation of LMs. - Leonie Weissweiler; Kyle Mahowald; Adele Goldberg 002 (CoRR, 2025)

Constructions are Revealed in Word Distributions. - Joshua Rozner; Leonie Weissweiler; Kyle Mahowald; Cory Shain (CoRR, 2025)

Language Models Fail to Introspect About Their Knowledge of Language. - Siyuan Song; Jennifer Hu 001; Kyle Mahowald (CoRR, 2025)

Both Direct and Indirect Evidence Contribute to Dative Alternation Preferences in Language Models. - Qing Yao; Kanishka Misra; Leonie Weissweiler; Kyle Mahowald (CoRR, 2025)

On Language Models' Sensitivity to Suspicious Coincidences. - Sriram Padmanabhan; Kanishka Misra; Kyle Mahowald; Eunsol Choi (CoRR, 2025)

A suite of LMs comprehend puzzle statements as well as humans. - Adele E. Goldberg; Supantho Rakshit; Jennifer Hu 001; Kyle Mahowald (CoRR, 2025)

Causal Interventions Reveal Shared Structure Across English Filler-Gap Constructions. - Sasha Boguraev; Christopher Potts; Kyle Mahowald (CoRR, 2025)

semantic-features: A User-Friendly Tool for Studying Contextual Word Embeddings in Interpretable Semantic Spaces. - Jwalanthi Ranganathan; Rohan Jha; Kanishka Misra; Kyle Mahowald (CoRR, 2025)