David Chiang

David Chiang

University of Notre Dame

H-index: 35

North America-United States

About David Chiang

David Chiang, With an exceptional h-index of 35 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Notre Dame, specializes in the field of Natural Language Processing, Machine Translation.

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

We're Calling an Intervention: Taking a Closer Look at Language Model Adaptation to Different Types of Linguistic Variation

Counting Like Transformers: Compiling Temporal Counting Logic Into Softmax Transformers

Transformers as Transducers

DIALECTBENCH: A NLP Benchmark for Dialects, Varieties, and Closely-Related Languages

PILA: A Historical-Linguistic Dataset of Proto-Italic and Latin

Nostra Domina at EvaLatin 2024: Improving Latin Polarity Detection through Data Augmentation

Introducing Morphology in Universal Dependencies Japanese

Universal Automatic Phonetic Transcription into the International Phonetic Alphabet

David Chiang Information

University

Position

Associate Professor

Citations(all)

9227

Citations(since 2020)

2374

Cited By

7531

hIndex(all)

35

hIndex(since 2020)

23

i10Index(all)

70

i10Index(since 2020)

41

Email

University Profile Page

University of Notre Dame

Google Scholar

View Google Scholar Profile

David Chiang Skills & Research Interests

Natural Language Processing

Machine Translation

Top articles of David Chiang

Title

Journal

Author(s)

Publication Date

We're Calling an Intervention: Taking a Closer Look at Language Model Adaptation to Different Types of Linguistic Variation

arXiv preprint arXiv:2404.07304

Aarohi Srivastava

David Chiang

2024/4/10

Counting Like Transformers: Compiling Temporal Counting Logic Into Softmax Transformers

arXiv preprint arXiv:2404.04393

Andy Yang

David Chiang

2024/4/5

Transformers as Transducers

arXiv preprint arXiv:2404.02040

Lena Strobl

Dana Angluin

David Chiang

Jonathan Rawski

Ashish Sabharwal

2024/4/2

DIALECTBENCH: A NLP Benchmark for Dialects, Varieties, and Closely-Related Languages

arXiv preprint arXiv:2403.11009

Fahim Faisal

Orevaoghene Ahia

Aarohi Srivastava

Kabir Ahuja

David Chiang

...

2024/3/16

PILA: A Historical-Linguistic Dataset of Proto-Italic and Latin

arXiv preprint arXiv:2404.16341

Stephen Bothwell

Brian DuSell

David Chiang

Brian Krostenko

2024/4/25

Nostra Domina at EvaLatin 2024: Improving Latin Polarity Detection through Data Augmentation

arXiv preprint arXiv:2404.07792

Stephen Bothwell

Abigail Swenor

David Chiang

2024/4/11

Introducing Morphology in Universal Dependencies Japanese

Chihiro Taguchi

David Chiang

2023/3

Universal Automatic Phonetic Transcription into the International Phonetic Alphabet

arXiv preprint arXiv:2308.03917

Chihiro Taguchi

Yusuke Sakai

Parisa Haghani

David Chiang

2023/8/7

Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines

arXiv preprint arXiv:2312.00100

Stephen Bothwell

Justin DeBenedetto

Theresa Crnkovich

Hildegund Müller

David Chiang

2023/11/30

Tighter bounds on the expressivity of transformer encoders

David Chiang

Peter Cholak

Anand Pillay

2023/7/3

Transformers as recognizers of formal languages: A survey on expressivity

arXiv preprint arXiv:2311.00208

Lena Strobl

William Merrill

Gail Weiss

David Chiang

Dana Angluin

2023/11/1

Convergence and diversity in the control hierarchy

Alexandra Butoi

Ryan Cotterell

David Chiang

2023/7

Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages

arXiv preprint arXiv:2310.15276

Alexandra Butoi

Tim Vieira

Ryan Cotterell

David Chiang

2023/10/23

Exact recursive probabilistic programming

Proceedings of the ACM on Programming Languages

David Chiang

Colin McDonald

Chung-chieh Shan

2023/4/6

Masked Hard-Attention Transformers and Boolean RASP Recognize Exactly the Star-Free Languages

arXiv preprint arXiv:2310.13897

Dana Angluin

David Chiang

Andy Yang

2023/10/21

Fine-tuning BERT with character-level noise for zero-shot transfer to dialects and closely-related languages

arXiv preprint arXiv:2303.17683

Aarohi Srivastava

David Chiang

2023/3/30

Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns

arXiv preprint arXiv:2310.01749

Brian DuSell

David Chiang

2023/10/3

BERTwich: Extending BERT’s Capabilities to Model Dialectal and Noisy Text

Aarohi Srivastava

David Chiang

2023/12

Overcoming a Theoretical Limitation of Self-Attention

arXiv preprint arXiv:2202.12172

David Chiang

Peter Cholak

2022/2/24

Bridging Graph Position Encodings for Transformers with Weighted Graph-Walking Automata

arXiv preprint arXiv:2212.06898

Patrick Soga

David Chiang

2022/12/13

See List of Professors in David Chiang University(University of Notre Dame)

Co-Authors

H-index: 69
Yoav Goldberg

Yoav Goldberg

Bar-Ilan University

H-index: 68
Hwee Tou Ng

Hwee Tou Ng

National University of Singapore

H-index: 62
Philip Resnik

Philip Resnik

University of Maryland

H-index: 56
Mona Diab

Mona Diab

George Washington University

H-index: 43
Steven Bird

Steven Bird

Charles Darwin University

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