Kyle Mahowald

Orcid: 0000-0002-9786-8716

According to our database1, Kyle Mahowald authored at least 37 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs.
CoRR, 2024

Language models align with human judgments on key grammatical constructions.
CoRR, 2024

Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently.
CoRR, 2024

Mission: Impossible Language Models.
CoRR, 2024

Are Language Models More Like Libraries or Like Librarians? Bibliotechnism, the Novel Reference Problem, and the Attitudes of LLMs.
CoRR, 2024

2023
Counterfactually Probing Language Identity in Multilingual Models.
CoRR, 2023

Lil-Bevo: Explorations of Strategies for Training Language Models in More Humanlike Ways.
CoRR, 2023

Keep it Neutral: Using Natural Language Inference to Improve Generation.
CoRR, 2023

Dissociating language and thought in large language models: a cognitive perspective.
CoRR, 2023

Elaborative Simplification as Implicit Questions Under Discussion.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting the Optimality of Word Lengths.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

For Generated Text, Is NLI-Neutral Text the Best Text?
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.
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.
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.
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.
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.
CoRR, 2022

Grammatical cues are largely, but not completely, redundant with word meanings in natural language.
CoRR, 2022

What do tokens know about their characters and how do they know it?
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.
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.
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.
Proc. Natl. Acad. Sci. USA, 2021

A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space.
CoRR, 2021

Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP.
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?
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.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT.
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.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2018
Word Forms Are Structured for Efficient Use.
Cogn. Sci., 2018

2017
Wordform Similarity Increases With Semantic Similarity: An Analysis of 100 Languages.
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.
NeuroImage, 2016

Syntactic processing is distributed across the language system.
NeuroImage, 2016

Response to Liu, Xu, and Liang (2015) and Ferrer-i-Cancho and Gómez-Rodríguez (2015) on Dependency Length Minimization.
Glottometrics, 2016

Accommodating Presuppositions Is Inappropriate in Implausible Contexts.
Cogn. Sci., 2016

2015
A Pragmatic Account of Complexity in Definite Antecedent-Contained-Deletion Relative Clauses.
J. Semant., 2015

Quantifying Word Order Freedom in Dependency Corpora.
Proceedings of the Third International Conference on Dependency Linguistics, 2015

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


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