Kenton Murray

Kenton Murray

Johns Hopkins University

H-index: 17

North America-United States

About Kenton Murray

Kenton Murray, With an exceptional h-index of 17 and a recent h-index of 14 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of Machine Learning, Natural Language Processing, Machine Translation, Semantics, Neural Networks.

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

Contrastive preference optimization: Pushing the boundaries of llm performance in machine translation

Towards being parameter-efficient: A stratified sparsely activated transformer with dynamic capacity

Linking Symptom Inventories using Semantic Textual Similarity

Findings of the IWSLT 2023 evaluation campaign

Megawika: Millions of reports and their sources across 50 diverse languages

Why does zero-shot cross-lingual generation fail? an explanation and a solution

Findings of the 2023 conference on machine translation (WMT23): LLMs are here but not quite there yet

Exploring Representational Disparities Between Multilingual and Bilingual Translation Models

Kenton Murray Information

University

Position

Research Scientist

Citations(all)

940

Citations(since 2020)

804

Cited By

309

hIndex(all)

17

hIndex(since 2020)

14

i10Index(all)

19

i10Index(since 2020)

16

Email

University Profile Page

Johns Hopkins University

Google Scholar

View Google Scholar Profile

Kenton Murray Skills & Research Interests

Machine Learning

Natural Language Processing

Machine Translation

Semantics

Neural Networks

Top articles of Kenton Murray

Title

Journal

Author(s)

Publication Date

Contrastive preference optimization: Pushing the boundaries of llm performance in machine translation

arXiv preprint arXiv:2401.08417

Haoran Xu

Amr Sharaf

Yunmo Chen

Weiting Tan

Lingfeng Shen

...

2024/1/16

Towards being parameter-efficient: A stratified sparsely activated transformer with dynamic capacity

arXiv preprint arXiv:2305.02176

Haoran Xu

Maha Elbayad

Kenton Murray

Jean Maillard

Vedanuj Goswami

2023/5/3

Linking Symptom Inventories using Semantic Textual Similarity

arXiv preprint arXiv:2309.04607

Eamonn Kennedy

Shashank Vadlamani

Hannah M Lindsey

Kelly S Peterson

Kristen Dams OConnor

...

2023/9/8

Findings of the IWSLT 2023 evaluation campaign

Milind Agarwal

Sweta Agarwal

Antonios Anastasopoulos

Luisa Bentivogli

Ondřej Bojar

...

2023

Megawika: Millions of reports and their sources across 50 diverse languages

arXiv preprint arXiv:2307.07049

Samuel Barham

Orion Weller

Michelle Yuan

Kenton Murray

Mahsa Yarmohammadi

...

2023/7/13

Why does zero-shot cross-lingual generation fail? an explanation and a solution

arXiv preprint arXiv:2305.17325

Tianjian Li

Kenton Murray

2023/5/27

Findings of the 2023 conference on machine translation (WMT23): LLMs are here but not quite there yet

Tom Kocmi

Eleftherios Avramidis

Rachel Bawden

Ondřej Bojar

Anton Dvorkovich

...

2023/12

Exploring Representational Disparities Between Multilingual and Bilingual Translation Models

arXiv preprint arXiv:2305.14230

Neha Verma

Kenton Murray

Kevin Duh

2023/5/23

Narrowing the Gap between Zero-and Few-shot Machine Translation by Matching Styles

NAACL 2024

Weiting Tan

Haoran Xu

Lingfeng Shen

Shuyue Stella Li

Kenton Murray

...

2023/11/4

Condensing multilingual knowledge with lightweight language-specific modules

Haoran Xu

Weiting Tan

Shuyue Stella Li

Yunmo Chen

Benjamin Van Durme

...

2023/5/23

Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models

arXiv preprint arXiv:2310.00840

Tianjian Li

Haoran Xu

Philipp Koehn

Daniel Khashabi

Kenton Murray

2023/10/2

Por Qu\'e N\~ ao Utiliser Alla Spr {\aa} k? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual Transfer

arXiv preprint arXiv:2204.13869

Haoran Xu

Kenton Murray

2022/4/29

Transfer learning approaches for building cross-language dense retrieval models

Suraj Nair

Eugene Yang

Dawn Lawrie

Kevin Duh

Paul McNamee

...

2022/4/5

Findings of the IWSLT 2022 Evaluation Campaign.

Antonios Anastasopoulos

Loc Barrault

Luisa Bentivogli

Marcely Zanon Boito

Ondřej Bojar

...

2022

Language agnostic code-mixing data augmentation by predicting linguistic patterns

arXiv preprint arXiv:2211.07628

Shuyue Stella Li

Kenton Murray

2022/11/14

Strategies for adapting multilingual pre-training for domain-specific machine translation

Neha Verma

Kenton Murray

Kevin Duh

2022/9

The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains

arXiv preprint arXiv:2205.11416

Haoran Xu

Philipp Koehn

Kenton Murray

2022/5/23

Bert, mbert, or bibert? a study on contextualized embeddings for neural machine translation

arXiv preprint arXiv:2109.04588

Haoran Xu

Benjamin Van Durme

Kenton Murray

2021/9/9

Joint universal syntactic and semantic parsing

Transactions of the Association for Computational Linguistics

Elias Stengel-Eskin

Kenton Murray

Sheng Zhang

Aaron Steven White

Benjamin Van Durme

2021/4/12

Data augmentation by concatenation for low-resource translation: A mystery and a solution

arXiv preprint arXiv:2105.01691

Toan Q Nguyen

Kenton Murray

David Chiang

2021/5/4

See List of Professors in Kenton Murray University(Johns Hopkins University)

Co-Authors

H-index: 151
Christos Faloutsos

Christos Faloutsos

Carnegie Mellon University

H-index: 57
Benjamin Van Durme

Benjamin Van Durme

Johns Hopkins University

H-index: 46
Kevin Duh

Kevin Duh

Johns Hopkins University

H-index: 43
Walter Scheirer

Walter Scheirer

University of Notre Dame

H-index: 35
David Chiang

David Chiang

University of Notre Dame

H-index: 33
Paul McNamee

Paul McNamee

Johns Hopkins University

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