Ellie Pavlick

Ellie Pavlick

Brown University

H-index: 35

North America-United States

About Ellie Pavlick

Ellie Pavlick, With an exceptional h-index of 35 and a recent h-index of 33 (since 2020), a distinguished researcher at Brown University, specializes in the field of Natural Language Processing.

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

Transformer Mechanisms Mimic Frontostriatal Gating Operations When Trained on Human Working Memory Tasks

mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models?

Bayesian preference elicitation with language models

Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction

Human Curriculum Effects Emerge with In-Context Learning in Neural Networks

Language models implement simple word2vec-style vector arithmetic

Properties of LoTs: The footprints or the bear itself?

Deep neural networks can learn generalizable same-different visual relations

Ellie Pavlick Information

University

Position

___

Citations(all)

8729

Citations(since 2020)

8206

Cited By

2198

hIndex(all)

35

hIndex(since 2020)

33

i10Index(all)

65

i10Index(since 2020)

62

Email

University Profile Page

Brown University

Google Scholar

View Google Scholar Profile

Ellie Pavlick Skills & Research Interests

Natural Language Processing

Top articles of Ellie Pavlick

Title

Journal

Author(s)

Publication Date

Transformer Mechanisms Mimic Frontostriatal Gating Operations When Trained on Human Working Memory Tasks

arXiv preprint arXiv:2402.08211

Aaron Traylor

Jack Merullo

Michael J Frank

Ellie Pavlick

2024/2/13

mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models?

arXiv preprint arXiv:2404.12444

Tianze Hua

Tian Yun

Ellie Pavlick

2024/4/18

Bayesian preference elicitation with language models

arXiv preprint arXiv:2403.05534

Kunal Handa

Yarin Gal

Ellie Pavlick

Noah Goodman

Jacob Andreas

...

2024/3/8

Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction

arXiv preprint arXiv:2403.05576

Senjuti Dutta

Sherol Chen

Sunny Mak

Amnah Ahmad

Katherine Collins

...

2024/2/27

Human Curriculum Effects Emerge with In-Context Learning in Neural Networks

arXiv preprint arXiv:2402.08674

Jacob Russin

Ellie Pavlick

Michael J Frank

2024/2/13

Language models implement simple word2vec-style vector arithmetic

arXiv preprint arXiv:2305.16130

Jack Merullo

Carsten Eickhoff

Ellie Pavlick

2023/5/25

Properties of LoTs: The footprints or the bear itself?

Sam McGrath

Jacob Russin

Ellie Pavlick

Roman Feiman

2023/4

Deep neural networks can learn generalizable same-different visual relations

arXiv preprint arXiv:2310.09612

Alexa R Tartaglini

Sheridan Feucht

Michael A Lepori

Wai Keen Vong

Charles Lovering

...

2023/10/14

Emergence of abstract state representations in embodied sequence modeling

arXiv preprint arXiv:2311.02171

Tian Yun

Zilai Zeng

Kunal Handa

Ashish V Thapliyal

Bo Pang

...

2023/11/3

Testing Causal Models of Word Meaning in GPT-3 and-4

arXiv preprint arXiv:2305.14630

Sam Musker

Ellie Pavlick

2023/5/24

Simfluence: Modeling the influence of individual training examples by simulating training runs

arXiv preprint arXiv:2303.08114

Kelvin Guu

Albert Webson

Ellie Pavlick

Lucas Dixon

Ian Tenney

...

2023/3/14

Circuit component reuse across tasks in transformer language models

arXiv preprint arXiv:2310.08744

Jack Merullo

Carsten Eickhoff

Ellie Pavlick

2023/10/12

Uncovering Intermediate Variables in Transformers using Circuit Probing

arXiv e-prints

Michael A Lepori

Thomas Serre

Ellie Pavlick

2023/11

Break it down: Evidence for structural compositionality in neural networks

Advances in Neural Information Processing Systems

Michael Lepori

Thomas Serre

Ellie Pavlick

2023/12/15

Training priors predict text-to-image model performance

arXiv preprint arXiv:2306.01755

Charles Lovering

Ellie Pavlick

2023/5/23

How Can Deep Neural Networks Inform Theory in Psychological Science?

Sam Whitman McGrath

Jacob Russin

Ellie Pavlick

Roman Feiman

2023/11

NeuroSurgeon: A toolkit for subnetwork analysis

arXiv preprint arXiv:2309.00244

Michael A Lepori

Ellie Pavlick

Thomas Serre

2023/9/1

Comparing trajectory and vision modalities for verb representation

arXiv preprint arXiv:2303.12737

Dylan Ebert

Chen Sun

Ellie Pavlick

2023/3/8

Bloom: A 176b-parameter open-access multilingual language model

Teven Le Scao

Angela Fan

Christopher Akiki

Ellie Pavlick

Suzana Ilić

...

2023/11/20

A mechanism for solving relational tasks in transformer language models

Jack Merullo

Carsten Eickhoff

Ellie Pavlick

2023/5

See List of Professors in Ellie Pavlick University(Brown University)

Co-Authors

H-index: 93
Lyle Ungar

Lyle Ungar

University of Pennsylvania

H-index: 75
Mark Dredze

Mark Dredze

Johns Hopkins University

H-index: 67
Heng Ji

Heng Ji

University of Illinois at Urbana-Champaign

H-index: 62
Chris Callison-Burch

Chris Callison-Burch

University of Pennsylvania

H-index: 57
Benjamin Van Durme

Benjamin Van Durme

Johns Hopkins University

H-index: 46
Johan Bos

Johan Bos

Rijksuniversiteit Groningen

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