Hal Daumé III

Hal Daumé III

University of Maryland

H-index: 71

North America-United States

About Hal Daumé III

Hal Daumé III, With an exceptional h-index of 71 and a recent h-index of 51 (since 2020), a distinguished researcher at University of Maryland, specializes in the field of Natural language processing, machine learning.

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

ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition

HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models

The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features

: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning

Premier-TACO: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss

A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions

Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections

Seamful XAI: Operationalizing seamful design in explainable AI

Hal Daumé III Information

University

Position

Associate Professor of Computer Science

Citations(all)

25702

Citations(since 2020)

14514

Cited By

16481

hIndex(all)

71

hIndex(since 2020)

51

i10Index(all)

182

i10Index(since 2020)

127

Email

University Profile Page

University of Maryland

Google Scholar

View Google Scholar Profile

Hal Daumé III Skills & Research Interests

Natural language processing

machine learning

Top articles of Hal Daumé III

Title

Journal

Author(s)

Publication Date

ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition

Advances in Neural Information Processing Systems

Aashaka Desai

Lauren Berger

Fyodor Minakov

Nessa Milano

Chinmay Singh

...

2024/2/13

HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models

arXiv preprint arXiv:2403.11456

Huy Nghiem

Hal Daumé III

2024/3/18

The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features

Navita Goyal

Connor Baumler

Tin Nguyen

Hal Daumé III

2024/3/18

: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning

Advances in Neural Information Processing Systems

Ruijie Zheng

Xiyao Wang

Yanchao Sun

Shuang Ma

Jieyu Zhao

...

2024/2/13

Premier-TACO: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss

arXiv preprint arXiv:2402.06187

Ruijie Zheng

Yongyuan Liang

Xiyao Wang

Shuang Ma

Hal Daumé III

...

2024/2/9

A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions

arXiv preprint arXiv:2403.01015

Charvi Rastogi

Xiangchen Song

Zhijing Jin

Ivan Stelmakh

Hal Daumé III

...

2024/3/1

Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections

arXiv preprint arXiv:2402.16973

Lingjun Zhao

Khanh Nguyen

Hal Daumé III

2024/2/26

Seamful XAI: Operationalizing seamful design in explainable AI

arXiv preprint arXiv:2211.06753

Upol Ehsan

Q Vera Liao

Samir Passi

Mark O Riedl

Hal Daume III

2022/11/12

PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem

arXiv preprint arXiv:2402.10450

Ruijie Zheng

Ching-An Cheng

Hal Daumé III

Furong Huang

Andrey Kolobov

2024/2/16

How do authors’ perceptions of their papers compare with co-authors’ perceptions and peer-review decisions?

Plos one

Charvi Rastogi

Ivan Stelmakh

Alina Beygelzimer

Yann N Dauphin

Percy Liang

...

2024/4/10

Human-Centered Explainable AI (HCXAI): Coming of Age

Upol Ehsan

Philipp Wintersberger

Elizabeth A Watkins

Carina Manger

Gonzalo Ramos

...

2023/4/19

Large Language Models Help Humans Verify Truthfulness--Except When They Are Convincingly Wrong

arXiv preprint arXiv:2310.12558

Chenglei Si

Navita Goyal

Sherry Tongshuang Wu

Chen Zhao

Shi Feng

...

2023/10/19

FairPrism: evaluating fairness-related harms in text generation

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics

Eve Fleisig

Aubrie Amstutz

Chad Atalla

Su Lin Blodgett

Hal Daumé III

...

2023

Progressively Efficient Communication

Khanh Nguyen

Ruijie Zheng

Hal Daumé III

Furong Huang

Karthik Narasimhan

2023/11/30

is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss

Ruijie Zheng

Yongyuan Liang

Xiyao Wang

Shuang Ma

Hal Daumé III

...

2023/10/13

Which examples should be multiply annotated? active learning when annotators may disagree

Connor Baumler

Anna Sotnikova

Hal Daumé III

2023/7

Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators

arXiv preprint arXiv:2311.07879

Yang Trista Cao

Lovely-Frances Domingo

Sarah Ann Gilbert

Michelle Mazurek

Katie Shilton

...

2023/11/14

Progressively Efficient Learning

arXiv preprint arXiv:2310.13004

Ruijie Zheng

Khanh Nguyen

Hal Daumé III

Furong Huang

Karthik Narasimhan

2023/10/13

Evaluating the social impact of generative ai systems in systems and society

arXiv preprint arXiv:2306.05949

Irene Solaiman

Zeerak Talat

William Agnew

Lama Ahmad

Dylan Baker

...

2023/6/9

Drm: Mastering visual reinforcement learning through dormant ratio minimization

arXiv preprint arXiv:2310.19668

Guowei Xu

Ruijie Zheng

Yongyuan Liang

Xiyao Wang

Zhecheng Yuan

...

2023/10/30

See List of Professors in Hal Daumé III University(University of Maryland)

Co-Authors

H-index: 73
Lise Getoor

Lise Getoor

University of California, Santa Cruz

H-index: 62
Philip Resnik

Philip Resnik

University of Maryland

H-index: 62
Alexander C Berg

Alexander C Berg

University of North Carolina at Chapel Hill

H-index: 59
Jason Eisner

Jason Eisner

Johns Hopkins University

H-index: 54
Tamara L Berg

Tamara L Berg

University of North Carolina at Chapel Hill

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