Deb Roy

Deb Roy

Massachusetts Institute of Technology

H-index: 51

North America-United States

About Deb Roy

Deb Roy, With an exceptional h-index of 51 and a recent h-index of 31 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Artificial Intelligence, language, cognitive science, learning.

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

SenseMate: An Accessible and Beginner-Friendly Human-AI Platform for Qualitative Data Analysis

Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling

The data provenance initiative: A large scale audit of dataset licensing & attribution in ai

Congrat: Self-supervised contrastive pretraining for joint graph and text embeddings

Polarized Speech on Online Platforms

Personallm: Investigating the ability of gpt-3.5 to express personality traits and gender differences

Redrawing attendance boundaries to promote racial and ethnic diversity in elementary schools

Language models trained on media diets can predict public opinion

Deb Roy Information

University

Position

___

Citations(all)

23173

Citations(since 2020)

12743

Cited By

15167

hIndex(all)

51

hIndex(since 2020)

31

i10Index(all)

150

i10Index(since 2020)

76

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Deb Roy Skills & Research Interests

Artificial Intelligence

language

cognitive science

learning

Top articles of Deb Roy

Title

Journal

Author(s)

Publication Date

SenseMate: An Accessible and Beginner-Friendly Human-AI Platform for Qualitative Data Analysis

Cassandra Overney

Belén Saldías

Dimitra Dimitrakopoulou

Deb Roy

2024/3/18

Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling

arXiv preprint arXiv:2402.17019

Hang Jiang

Xiajie Zhang

Robert Mahari

Daniel Kessler

Eric Ma

...

2024/2/26

The data provenance initiative: A large scale audit of dataset licensing & attribution in ai

arXiv preprint arXiv:2310.16787

Shayne Longpre

Robert Mahari

Anthony Chen

Naana Obeng-Marnu

Damien Sileo

...

2023/10/25

Congrat: Self-supervised contrastive pretraining for joint graph and text embeddings

arXiv preprint arXiv:2305.14321

William Brannon

Suyash Fulay

Hang Jiang

Wonjune Kang

Brandon Roy

...

2023/5/23

Polarized Speech on Online Platforms

arXiv preprint arXiv:2308.15556

Suyash Fulay

Deb Roy

2023/8/29

Personallm: Investigating the ability of gpt-3.5 to express personality traits and gender differences

arXiv preprint arXiv:2305.02547

Hang Jiang

Xiajie Zhang

Xubo Cao

Jad Kabbara

Deb Roy

2023/5/4

Redrawing attendance boundaries to promote racial and ethnic diversity in elementary schools

Educational Researcher

Nabeel Gillani

Doug Beeferman

Christine Vega-Pourheydarian

Cassandra Overney

Pascal Van Hentenryck

...

2023/8

Language models trained on media diets can predict public opinion

arXiv preprint arXiv:2303.16779

Eric Chu

Jacob Andreas

Stephen Ansolabehere

Deb Roy

2023/3/28

All a-board: sharing educational data science research with school districts

Nabeel Gillani

Doug Beeferman

Cassandra Overney

Christine Vega-Pourheydarian

Deb Roy

2023/7/20

Generating audience response metrics and ratings from social interest in time-based media

2023/2/7

M-sense: Modeling narrative structure in short personal narratives using protagonist’s mental representations

Proceedings of the AAAI Conference on Artificial Intelligence

Prashanth Vijayaraghavan

Deb Roy

2023/6/26

Divergences in Following Patterns between Influential Twitter Users and Their Audiences across Dimensions of Identity

Proceedings of the International AAAI Conference on Web and Social Media

Suyash Fulay

Nabeel Gillani

Deb Roy

2023/6/2

End-to-End Zero-Shot Voice Conversion with Location-Variable Convolutions

Wonjune Kang

Mark Hasegawa-Johnson

Deb Roy

2023/8

Technology-assisted coaching can increase engagement with learning technology at home and caregivers’ awareness of it

Computers & Education

Juliana Nazare

Anneli Woolf

Ivan Sysoev

Sarah Ballinger

Martin Saveski

...

2022/10/1

Annotating the Tweebank corpus on named entity recognition and building NLP models for social media analysis

arXiv preprint arXiv:2201.07281

Hang Jiang

Yining Hua

Doug Beeferman

Deb Roy

2022/1/18

CommunityLM: Probing partisan worldviews from language models

arXiv preprint arXiv:2209.07065

Hang Jiang

Doug Beeferman

Brandon Roy

Deb Roy

2022/9/15

Identification of concurrently broadcast time-based media

2022/1/11

Child-driven, machine-guided: Automatic scaffolding of constructionist-inspired early literacy play

Computers & Education

Ivan Sysoev

James H Gray

Susan Fine

Sneha Priscilla Makini

Deb Roy

2022/6/1

Engaging politically diverse audiences on social media

Proceedings of the International AAAI Conference on Web and Social Media

Martin Saveski

Doug Beeferman

David McClure

Deb Roy

2022/5/31

Perspective-taking to reduce affective polarization on social media

Proceedings of the International AAAI Conference on Web and Social Media

Martin Saveski

Nabeel Gillani

Ann Yuan

Prashanth Vijayaraghavan

Deb Roy

2022/5/31

See List of Professors in Deb Roy University(Massachusetts Institute of Technology)