Kyle Mahowald

Kyle Mahowald

University of California, Santa Barbara

H-index: 20

North America-United States

About Kyle Mahowald

Kyle Mahowald, With an exceptional h-index of 20 and a recent h-index of 20 (since 2020), a distinguished researcher at University of California, Santa Barbara, specializes in the field of computational linguistics, psycholinguistics, natural language processing, cognitive science, meta-science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Mission: Impossible language models

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

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

Functional characterization of the language network of polyglots and hyperpolyglots with precision fMRI

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

Dissociating language and thought in large language models

High-level language brain regions process sublexical regularities

Language models align with human judgments on key grammatical constructions

Kyle Mahowald Information

University

Position

___

Citations(all)

3130

Citations(since 2020)

2484

Cited By

1410

hIndex(all)

20

hIndex(since 2020)

20

i10Index(all)

28

i10Index(since 2020)

28

Email

University Profile Page

University of California, Santa Barbara

Google Scholar

View Google Scholar Profile

Kyle Mahowald Skills & Research Interests

computational linguistics

psycholinguistics

natural language processing

cognitive science

meta-science

Top articles of Kyle Mahowald

Title

Journal

Author(s)

Publication Date

Mission: Impossible language models

arXiv preprint arXiv:2401.06416

Julie Kallini

Isabel Papadimitriou

Richard Futrell

Kyle Mahowald

Christopher Potts

2024/1/12

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

arXiv preprint arXiv:2401.06640

Kanishka Misra

Allyson Ettinger

Kyle Mahowald

2024/1/12

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

arXiv preprint arXiv:2403.19827

Kanishka Misra

Kyle Mahowald

2024/3/28

Functional characterization of the language network of polyglots and hyperpolyglots with precision fMRI

Cerebral Cortex

Saima Malik-Moraleda

Olessia Jouravlev

Maya Taliaferro

Zachary Mineroff

Theodore Cucu

...

2024/3

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

arXiv preprint arXiv:2401.04854

Harvey Lederman

Kyle Mahowald

2024/1/10

Dissociating language and thought in large language models

Kyle Mahowald

Anna A Ivanova

Idan A Blank

Nancy Kanwisher

Joshua B Tenenbaum

...

2024/3/19

High-level language brain regions process sublexical regularities

Cerebral Cortex

Tamar I Regev

Hee So Kim

Xuanyi Chen

Josef Affourtit

Abigail E Schipper

...

2024/3

Language models align with human judgments on key grammatical constructions

arXiv preprint arXiv:2402.01676

Jennifer Hu

Kyle Mahowald

Gary Lupyan

Anna Ivanova

Roger Levy

2024/1/19

Grammatical cues to subjecthood are redundant in a majority of simple clauses across languages

Cognition

Kyle Mahowald

Evgeniia Diachek

Edward Gibson

Evelina Fedorenko

Richard Futrell

2023/12/1

Counterfactually Probing Language Identity in Multilingual Models

Anirudh Srinivasan

Venkata S Govindarajan

Kyle Mahowald

2023

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

ACL 2023 Findings

Jing Huang

Zhengxuan Wu

Kyle Mahowald

Christopher Potts

2022/12/19

An information-theoretic approach to the typology of spatial demonstratives

Cognition

Sihan Chen

Richard Futrell

Kyle Mahowald

2023/11/1

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

Venkata S Govindarajan

Juan Diego Rodriguez

Kaj Bostrom

Kyle Mahowald

2023

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

Gabriella Chronis

Kyle Mahowald

Katrin Erk

2023

Evaluation of Psychometric Properties and Inter-test Associations for Three Popular Measures of Social Competence

Olessia Jouravlev

Kyle Mahowald

Alexander Paunov

Edward Gibson

Evelina Fedorenko

2023/4

Counterfactual Probing for the influence of affect and specificity on Intergroup Bias

Venkata S Govindarajan

Kyle Mahowald

David I Beaver

Junyi Jessy Li

2023

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

arXiv preprint arXiv:2302.08577

Michail Mersinias

Kyle Mahowald

2023/2/16

Elaborative simplification as implicit questions under discussion

Yating Wu

William Sheffield

Kyle Mahowald

Junyi Jessy Li

2023

How random is the review outcome? A systematic study of the impact of external factors on eLife peer review

bioRxiv

Weixin Liang

Kyle Mahowald

Jennifer Raymond

Vamshi Krishna

Daniel Smith

...

2023/1/4

Concepts Are Restructured During Language Contact: The Birth of Blue and Other Color Concepts in Tsimane’-Spanish Bilinguals

Psychological Science

Saima Malik-Moraleda

Kyle Mahowald

Bevil R Conway

Edward Gibson

2023/12

See List of Professors in Kyle Mahowald University(University of California, Santa Barbara)

Co-Authors

H-index: 137
Joshua B. Tenenbaum

Joshua B. Tenenbaum

Massachusetts Institute of Technology

H-index: 113
Dan Jurafsky

Dan Jurafsky

Stanford University

H-index: 68
Edward (Ted) Gibson

Edward (Ted) Gibson

Massachusetts Institute of Technology

H-index: 61
Evelina (Ev) Fedorenko

Evelina (Ev) Fedorenko

Massachusetts Institute of Technology

H-index: 52
Roger Levy

Roger Levy

Massachusetts Institute of Technology

H-index: 41
Steven T. Piantadosi

Steven T. Piantadosi

University of California, Berkeley

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