Hal Daumé III

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 158

Top Venues

Publications

Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. ICLR (2024)
Huy Nghiem, John Prindle, Jieyu Zhao, Hal Daumé III
"You Gotta be a Doctor, Lin": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations. CoRR (2024)
Charvi Rastogi, Xiangchen Song, Zhijing Jin, Ivan Stelmakh, Hal Daumé III, Kun Zhang, Nihar B. Shah
A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions. CoRR (2024)
Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov
PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem. CoRR (2024)
Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. CoRR (2024)
Chenglei Si, Navita Goyal, Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber
Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong. NAACL-HLT (2024)
Huy Nghiem, Hal Daumé III
HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models. CoRR (2024)
Navita Goyal, Connor Baumler, Tin Nguyen, Hal Daumé III
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features. IUI (2024)
Jay Cunningham, Su Lin Blodgett, Michael Madaio, Hal Daumé III, Christina Harrington, Hanna M. Wallach
Understanding the Impacts of Language Technologies' Performance Disparities on African American Language Speakers. ACL (Findings) (2024)
Upol Ehsan, Q. Vera Liao, Samir Passi, Mark O. Riedl, Hal Daumé III
Seamful XAI: Operationalizing Seamful Design in Explainable AI. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Lingjun Zhao, Khanh Nguyen, Hal Daumé III
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections. CoRR (2024)
Navita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey Micher, Clare R. Voss, Marine Carpuat, Hal Daumé III
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on AI Systems. CoRR (2023)
Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. CoRR (2023)
Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance. CoRR (2023)
Eve Fleisig, Aubrie Amstutz, Chad Atalla, Su Lin Blodgett, Hal Daumé III, Alexandra Olteanu, Emily Sheng, Dan Vann, Hanna M. Wallach
FairPrism: Evaluating Fairness-Related Harms in Text Generation. ACL (1) (2023)
Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. CoRR (2023)
Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. NeurIPS (2023)
Lingjun Zhao, Khanh Nguyen, Hal Daumé III
Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models. ACL (Findings) (2023)
Navita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey Micher, Clare R. Voss, Marine Carpuat, Hal Daumé III
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems. EMNLP (2023)
Ruijie Zheng, Khanh Nguyen, Hal Daumé III, Furong Huang, Karthik Narasimhan
Progressively Efficient Learning. CoRR (2023)
Aashaka Desai, Lauren Berger, Fyodor O. Minakov, Vanessa Milan, Chinmay Singh, Kriston Pumphrey, Richard E. Ladner, Hal Daumé III, Alex X. Lu, Naomi Caselli, Danielle Bragg
ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition. CoRR (2023)
Tin Nguyen, Jiannan Xu, Aayushi Roy, Hal Daumé III, Marine Carpuat
Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators. CoRR (2023)
Navita Goyal, Ani Nenkova, Hal Daumé III
Factual or Contextual? Disentangling Error Types in Entity Description Generation. ACL (1) (2023)
Irene Solaiman, Zeerak Talat, William Agnew, Lama Ahmad, Dylan K. Baker, Su Lin Blodgett, Hal Daumé III, Jesse Dodge, Ellie Evans, Sara Hooker, Yacine Jernite, Alexandra Sasha Luccioni, Alberto Lusoli, Margaret Mitchell, Jessica Newman, Marie-Therese Png, Andrew Strait, Apostol Vassilev
Evaluating the Social Impact of Generative AI Systems in Systems and Society. CoRR (2023)
Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance. ACL (Findings) (2023)
Lingjun Zhao, Khanh Nguyen, Hal Daumé III
A Cognitive Evaluation of Instruction Generation Agents tl;dr They Need Better Theory-of-Mind Capabilities. CoRR (2023)
Connor Baumler, Anna Sotnikova, Hal Daumé III
Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree. ACL (Findings) (2023)
Sandra Sandoval, Jieyu Zhao, Marine Carpuat, Hal Daumé III
A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation. EMNLP (2023)
Chenglei Si, Navita Goyal, Sherry Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber
Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong. CoRR (2023)
Aashaka Desai, Lauren Berger, Fyodor Minakov, Nessa Milano, Chinmay Singh, Kriston Pumphrey, Richard E. Ladner, Hal Daumé III, Alex X. Lu, Naomi Caselli, Danielle Bragg
ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition. NeurIPS (2023)
Yang Trista Cao, Anna Sotnikova, Jieyu Zhao, Linda X. Zou, Rachel Rudinger, Hal Daumé III
Multilingual large language models leak human stereotypes across language boundaries. CoRR (2023)
Navita Goyal, Connor Baumler, Tin Nguyen, Hal Daumé III
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features. CoRR (2023)
Lingjun Zhao, Khanh Nguyen, Hal Daumé III
Hallucination Detection for Grounded Instruction Generation. CoRR (2023)
Upol Ehsan, Philipp Wintersberger, Elizabeth Anne Watkins, Carina Manger, Gonzalo Ramos, Justin D. Weisz, Hal Daumé III, Andreas Riener, Mark O. Riedl
Human-Centered Explainable AI (HCXAI): Coming of Age. CHI Extended Abstracts (2023)
Tin Nguyen, Jiannan Xu, Aayushi Roy, Hal Daumé III, Marine Carpuat
Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators. EMNLP (2023)
Lingjun Zhao, Khanh Nguyen, Hal Daumé III
Hallucination Detection for Grounded Instruction Generation. EMNLP (Findings) (2023)
Yang Trista Cao, Lovely-Frances Domingo, Sarah Ann Gilbert, Michelle L. Mazurek, Katie Shilton, Hal Daumé III
Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators. CoRR (2023)
Yang Trista Cao, Anna Sotnikova, Hal Daumé III, Rachel Rudinger, Linda Zou
Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models. NAACL-HLT (2022)
Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. NAACL-HLT (2022)
Khanh X. Nguyen, Yonatan Bisk, Hal Daumé III
A Framework for Learning to Request Rich and Contextually Useful Information from Humans. ICML (2022)
Upol Ehsan, Philipp Wintersberger, Q. Vera Liao, Elizabeth Anne Watkins, Carina Manger, Hal Daumé III, Andreas Riener, Mark O. Riedl
Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI. CHI Extended Abstracts (2022)
Matthew Marge, Carol Y. Espy-Wilson, Nigel G. Ward, Abeer Alwan, Yoav Artzi, Mohit Bansal, Gilmer L. Blankenship, Joyce Chai, Hal Daumé III, Debadeepta Dey, Mary P. Harper, Thomas Howard, Casey Kennington, Ivana Kruijff-Korbayová, Dinesh Manocha, Cynthia Matuszek, Ross Mead, Raymond Mooney, Roger K. Moore, Mari Ostendorf, Heather Pon-Barry, Alexander I. Rudnicky, Matthias Scheutz, Robert St. Amant, Tong Sun, Stefanie Tellex, David R. Traum, Zhou Yu
Spoken language interaction with robots: Recommendations for future research. Comput. Speech Lang. 71 (2022)
Upol Ehsan, Q. Vera Liao, Samir Passi, Mark O. Riedl, Hal Daumé III
Seamful XAI: Operationalizing Seamful Design in Explainable AI. CoRR (2022)
Yang Trista Cao, Kyle Seelman, Kyungjun Lee, Hal Daumé III
What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility? AACL/IJCNLP (1) (2022)
Charvi Rastogi, Ivan Stelmakh, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, Zhenyu Xue, Hal Daumé III, Emma Pierson, Nihar B. Shah
How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions? CoRR (2022)
Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. CoRR (2022)
Yang Trista Cao, Kyle Seelman, Kyungjun Lee, Hal Daumé III
What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility? CoRR (2022)
Yang Trista Cao, Anna Sotnikova, Hal Daumé III, Rachel Rudinger, Linda Zou
Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models. CoRR (2022)
David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé III, Hanna M. Wallach, Jennifer Wortman Vaughan
From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence. HCOMP (2021)
Anna Sotnikova, Yang Trista Cao, Hal Daumé III, Rachel Rudinger
Analyzing Stereotypes in Generative Text Inference Tasks. ACL/IJCNLP (Findings) (2021)
Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III
Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review. Proc. ACM Hum. Comput. Interact. 5 (CSCW1) (2021)
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna M. Wallach, Hal Daumé III, Kate Crawford
Datasheets for datasets. Commun. ACM 64 (12) (2021)
Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation. CoRR (2021)
Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval. NAACL-HLT (2021)
David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé III, Hanna M. Wallach, Jennifer Wortman Vaughan
A Human-Centered Interpretability Framework Based on Weight of Evidence. CoRR (2021)
Yang Trista Cao, Hal Daumé III
Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle. Comput. Linguistics 47 (3) (2021)
Khanh Nguyen, Yonatan Bisk, Hal Daumé III
Learning When and What to Ask: a Hierarchical Reinforcement Learning Framework. CoRR (2021)
Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III
Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation. EMNLP (1) (2021)
Solon Barocas, Asia J. Biega, Margarita Boyarskaya, Kate Crawford, Hal Daumé III, Miroslav Dudík, Benjamin Fish, Mary L. Gray, Brent J. Hecht, Alexandra Olteanu, Forough Poursabzi-Sangdeh, Luke Stark, Jennifer Wortman Vaughan, Hanna M. Wallach, Marion Zepf
Responsible computing during COVID-19 and beyond. Commun. ACM 64 (7) (2021)
Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III
A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences. AAAI (2021)
Amr Sharaf, Hal Daumé III
Meta-Learning Effective Exploration Strategies for Contextual Bandits. AAAI (2021)
Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval. CoRR (2021)
Amr Sharaf, Hany Hassan, Hal Daumé III
Meta-Learning for Few-Shot NMT Adaptation. CoRR (2020)
Kianté Brantley, Hal Daumé III, Amr Sharaf
Active Imitation Learning with Noisy Guidance. ACL (2020)
Shlok Kumar Mishra, Pranav Goel, Abhishek Sharma, Abhyuday Jagannatha, David W. Jacobs, Hal Daumé III
Towards Automatic Generation of Questions from Long Answers. CoRR (2020)
Tianze Shi, Chen Zhao, Jordan L. Boyd-Graber, Hal Daumé III, Lillian Lee
On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries. CoRR (2020)
Amr Sharaf, Hany Hassan, Hal Daumé III
Meta-Learning for Few-Shot NMT Adaptation. NGT@ACL (2020)
Kianté Brantley, Amr Sharaf, Hal Daumé III
Active Imitation Learning with Noisy Guidance. CoRR (2020)
Abigail Z. Jacobs, Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach
The meaning and measurement of bias: lessons from natural language processing. FAT* (2020)
Ivan Stelmakh, Charvi Rastogi, Nihar B. Shah, Aarti Singh, Hal Daumé III
A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions. CoRR (2020)
Tianze Shi, Chen Zhao, Jordan L. Boyd-Graber, Hal Daumé III, Lillian Lee
On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries. EMNLP (Findings) (2020)
Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III
Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review. CoRR (2020)
Khanh Nguyen, Hal Daumé III
Active Imitation Learning from Multiple Non-Deterministic Teachers: Formulation, Challenges, and Algorithms. CoRR (2020)
Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach
Language (Technology) is Power: A Critical Survey of "Bias" in NLP. ACL (2020)
Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach
Language (Technology) is Power: A Critical Survey of "Bias" in NLP. CoRR (2020)
Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck
Operationalizing the Legal Principle of Data Minimization for Personalization. SIGIR (2020)
Yang Trista Cao, Hal Daumé III
Toward Gender-Inclusive Coreference Resolution. ACL (2020)
Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields. IEEE Trans. Learn. Technol. 13 (1) (2020)
Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III
A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences. CoRR (2020)
Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck
Operationalizing the Legal Principle of Data Minimization for Personalization. CoRR (2020)
Khanh Nguyen, Hal Daumé III
Global Voices: Crossing Borders in Automatic News Summarization. CoRR (2019)
Khanh Nguyen, Hal Daumé III
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning. CoRR (2019)
Kianté Brantley, Kyunghyun Cho, Hal Daumé III, Sean Welleck
Non-Monotonic Sequential Text Generation. WNLP@ACL (2019)
Sobhan Miryoosefi, Kianté Brantley, Hal Daumé III, Miroslav Dudík, Robert E. Schapire
Reinforcement Learning with Convex Constraints. NeurIPS (2019)
Khanh Nguyen, Hal Daumé III
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning. EMNLP/IJCNLP (1) (2019)
Elissa M. Redmiles, Lisa Maszkiewicz, Emily Hwang, Dhruv Kuchhal, Everest Liu, Miraida Morales, Denis Peskov, Sudha Rao, Rock Stevens, Kristina Gligoric, Sean Kross, Michelle L. Mazurek, Hal Daumé III
Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts. EMNLP/IJCNLP (1) (2019)
Yang Trista Cao, Sudha Rao, Hal Daumé III
Controlling the Specificity of Clarification Question Generation. WNLP@ACL (2019)
Amr Sharaf, Hal Daumé III
Meta-Learning for Contextual Bandit Exploration. CoRR (2019)
Wen Sun, Alina Beygelzimer, Hal Daumé III, John Langford, Paul Mineiro
Contextual Memory Trees. ICML (2019)
Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé III, John Langford
Active Learning for Cost-Sensitive Classification. J. Mach. Learn. Res. 20 (2019)
Khanh Nguyen, Hal Daumé III
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning. ViGIL@NeurIPS (2019)
Sobhan Miryoosefi, Kianté Brantley, Hal Daumé III, Miroslav Dudík, Robert E. Schapire
Reinforcement Learning with Convex Constraints. CoRR (2019)
Sudha Rao, Hal Daumé III
Answer-based Adversarial Training for Generating Clarification Questions. CoRR (2019)
Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand N. Negahban
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback. CoRR (2019)
Yang Trista Cao, Hal Daumé III
Toward Gender-Inclusive Coreference Resolution. CoRR (2019)
David Alvarez-Melis, Hal Daumé III, Jennifer Wortman Vaughan, Hanna M. Wallach
Weight of Evidence as a Basis for Human-Oriented Explanations. CoRR (2019)
Sean Welleck, Kianté Brantley, Hal Daumé III, Kyunghyun Cho
Non-Monotonic Sequential Text Generation. CoRR (2019)
Sean Welleck, Kianté Brantley, Hal Daumé III, Kyunghyun Cho
Non-Monotonic Sequential Text Generation. ICML (2019)
Sudha Rao, Hal Daumé III
Answer-based Adversarial Training for Generating Clarification Questions. NAACL-HLT (1) (2019)
Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miroslav Dudík, Hanna M. Wallach
Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need? CHI (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hal Daumé III