Hal Daumé III

331 papers A* 81A 12B 4C 1Misc 1Journal 138Unranked 93
YearRankTypeTitle / Venue / Authors
2026 A* conf
Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users.
CHI
Farnaz Zamiri Zeraati, Yang Trista Cao, Yuehan Qiao, Hal Daumé III, Hernisa Kacorri
2026 J jnl
Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users.
CoRR
Farnaz Zamiri Zeraati, Yang Trista Cao, Yuehan Qiao, Hal Daumé III, Hernisa Kacorri
2026 — conf
Steering Safely or Off a Cliff? Rethinking Specificity and Robustness in Inference-Time Interventions.
EACL (Volume 1: Long Papers)
Navita Goyal, Hal Daumé III
2026 J jnl
Steering Safely or Off a Cliff? Rethinking Specificity and Robustness in Inference-Time Interventions.
CoRR
Navita Goyal, Hal Daumé III
2026 A* conf
Surveilling Suitability: How AI Hiring Interviews Impact Job Seekers with Disabilities.
CHI
Vaishnav Kameswaran, Valentina Hong, Jazmin Clark, Yu Hou, Hal Daumé III, Katie Shilton
2026 A* conf
When Stereotypes GTG: The Impact of Predictive Text Suggestions on Gender Bias in Human-AI Co-Writing.
CHI
Connor Baumler, Hal Daumé III
2025 A* conf
'Rich Dad, Poor Lad': How do Large Language Models Contextualize Socioeconomic Factors in College Admission ?
EMNLP
Huy Nghiem, Phuong-Anh Nguyen-Le, John Prindle, Rachel Rudinger, Hal Daumé III
2025 J jnl
'Rich Dad, Poor Lad': How do Large Language Models Contextualize Socioeconomic Factors in College Admission ?
CoRR
Huy Nghiem, Phuong-Anh Nguyen-Le, John Prindle, Rachel Rudinger, Hal Daumé III
2025 A* conf
A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations.
EMNLP
Lingjun Zhao, Hal Daumé III
2025 J jnl
A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations.
CoRR
Lingjun Zhao, Hal Daumé III
2025 A* conf
An Interdisciplinary Approach to Human-Centered Machine Translation.
EMNLP
Marine Carpuat, Omri Asscher, Kalika Bali, Luisa Bentivogli, Frédéric Blain, Lynne Bowker, Monojit Choudhury, Hal Daumé III, Kevin Duh, Ge Gao, Alvin Grissom II, Marzena Karpinska, Elaine C. Khoong, William D. Lewis, André F. T. Martins, Mary Nurminen, Douglas W. Oard, Maja Popovic, Michel Simard, François Yvon
2025 J jnl
An Interdisciplinary Approach to Human-Centered Machine Translation.
CoRR
Marine Carpuat, Omri Asscher, Kalika Bali, Luisa Bentivogli, Frédéric Blain, Lynne Bowker, Monojit Choudhury, Hal Daumé III, Kevin Duh, Ge Gao, Alvin Grissom II, Marzena Karpinska, Elaine C. Khoong, William D. Lewis, André F. T. Martins, Mary Nurminen, Douglas W. Oard, Maja Popovic, Michel Simard, François Yvon
2025 J jnl
Balancing Safety and Helpfulness in Healthcare AI Assistants through Iterative Preference Alignment.
CoRR
Huy Nghiem, Swetasudha Panda, Devashish Khatwani, Huy V. Nguyen, Krishnaram Kenthapadi, Hal Daumé III
2025 J jnl
Beyond Blanket Masking: Examining Granularity for Privacy Protection in Images Captured by Blind and Low Vision Users.
CoRR
Jeffri Murrugarra-Llerena, Haoran Niu, K. Suzanne Barber, Hal Daumé III, Yang Trista Cao, Paola Cascante-Bonilla
2025 — conf
Can Hallucination Correction Improve Video-Language Alignment?
ACL (Findings)
Lingjun Zhao, Mingyang Xie, Paola Cascante-Bonilla, Hal Daumé III, Kwonjoon Lee
2025 J jnl
Can Hallucination Correction Improve Video-Language Alignment?
CoRR
Lingjun Zhao, Mingyang Xie, Paola Cascante-Bonilla, Hal Daumé III, Kwonjoon Lee
2025 J jnl
Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics.
CoRR
Tin Nguyen, Jiannan Xu, Zora Che, Phuong-Anh Nguyen-Le, Rushil Dandamudi, Donald Braman, Furong Huang, Hal Daumé III, Zubin Jelveh
2025 A conf
Exploring Collaboration to Center the Deaf Community in Sign Language AI.
ASSETS
Rie Kamikubo, Abraham Glasser, Alex X. Lu, Hal Daumé III, Hernisa Kacorri, Danielle Bragg
2025 J jnl
How May U.S. Courts Scrutinize Their Recidivism Risk Assessment Tools? Contextualizing AI Fairness Criteria on a Judicial Scrutiny-based Framework.
CoRR
Tin Nguyen, Jiannan Xu, Phuong-Anh Nguyen-Le, Jonathan Lazar, Donald Braman, Hal Daumé III, Zubin Jelveh
2025 — conf
Investigating Dictionary Expansion for Video-based Sign Language Dictionaries.
EMNLP (Findings)
Aashaka Desai, Daniela Massiceti, Richard E. Ladner, Hal Daumé III, Danielle Bragg, Alex Xijie Lu
2025 — conf
Language Models Predict Empathy Gaps Between Social In-groups and Out-groups.
NAACL (Long Papers)
Yu Hou, Hal Daumé III, Rachel Rudinger
2025 J jnl
Language Models Predict Empathy Gaps Between Social In-groups and Out-groups.
CoRR
Yu Hou, Hal Daumé III, Rachel Rudinger
2025 — conf
My LLM might Mimic AAE - But When Should It?
NAACL (Long Papers)
Sandra Sandoval, Christabel Acquaye, Kwesi A. Cobbina, Mohammad Nayeem Teli, Hal Daumé III
2025 J jnl
My LLM might Mimic AAE - But When Should it?
CoRR
Sandra Sandoval, Christabel Acquaye, Kwesi A. Cobbina, Mohammad Nayeem Teli, Hal Daumé III
2025 A* conf
Natural Language Inference Improves Compositionality in Vision-Language Models.
ICLR
Paola Cascante-Bonilla, Yu Hou, Yang Trista Cao, Hal Daumé III, Rachel Rudinger
2025 J jnl
SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models.
CoRR
Huy Nghiem, Advik Sachdeva, Hal Daumé III
2025 A* conf
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies.
ICLR
Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang, Jianfeng Gao, Hal Daumé III, Andrey Kolobov, Furong Huang, Jianwei Yang
2025 C conf
Which Demographic Features Are Relevant for Individual Fairness Evaluation of U.S. Recidivism Risk Assessment Tools?
ICAIL
Tin Trung Nguyen, Jiannan Xu, Phuong-Anh Nguyen-Le, Jonathan Lazar, Donald Braman, Hal Daumé III, Zubin Jelveh
2025 J jnl
Which Demographic Features Are Relevant for Individual Fairness Evaluation of U.S. Recidivism Risk Assessment Tools?
CoRR
Tin Trung Nguyen, Jiannan Xu, Phuong-Anh Nguyen-Le, Jonathan Lazar, Donald Braman, Hal Daumé III, Zubin Jelveh
2025 — conf
Who's the Author? How Explanations Impact User Reliance in AI-Assisted Authorship Attribution.
EMNLP (Findings)
Calvin Bao, Connor Baumler, Hal Daumé III, Marine Carpuat
2024 A* conf
"You Gotta be a Doctor, Lin" : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations.
EMNLP
Huy Nghiem, John Prindle, Jieyu Zhao, Hal Daumé III
2024 J jnl
"You Gotta be a Doctor, Lin": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations.
CoRR
Huy Nghiem, John Prindle, Jieyu Zhao, Hal Daumé III
2024 J jnl
A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions.
CoRR
Charvi Rastogi, Xiangchen Song, Zhijing Jin, Ivan Stelmakh, Hal Daumé III, Kun Zhang, Nihar B. Shah
2024 A* conf
ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles.
EMNLP
Kayo Yin, Chinmay Singh, Fyodor Minakov, Vanessa Milan, Hal Daumé III, Cyril Zhang, Alex Lu, Danielle Bragg
2024 J jnl
ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles.
CoRR
Kayo Yin, Chinmay Singh, Fyodor O. Minakov, Vanessa Milan, Hal Daumé III, Cyril Zhang, Alex X. Lu, Danielle Bragg
2024 J jnl
Anti-stereotypical Predictive Text Suggestions Do Not Reliably Yield Anti-stereotypical Writing.
CoRR
Connor Baumler, Hal Daumé III
2024 J jnl
Causal Effect of Group Diversity on Redundancy and Coverage in Peer-Reviewing.
CoRR
Navita Goyal, Ivan Stelmakh, Nihar B. Shah, Hal Daumé III
2024 A* conf
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA.
EMNLP
Maharshi Gor, Hal Daumé III, Tianyi Zhou, Jordan L. Boyd-Graber
2024 J jnl
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA.
CoRR
Maharshi Gor, Hal Daumé III, Tianyi Zhou, Jordan L. Boyd-Graber
2024 A* conf
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization.
ICLR
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
2024 — conf
HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models.
EMNLP (Findings)
Huy Nghiem, Hal Daumé III
2024 J jnl
HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models.
CoRR
Huy Nghiem, Hal Daumé III
2024 — conf
Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong.
NAACL-HLT
Chenglei Si, Navita Goyal, Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber
2024 J jnl
Natural Language Inference Improves Compositionality in Vision-Language Models.
CoRR
Paola Cascante-Bonilla, Yu Hou, Yang Trista Cao, Hal Daumé III, Rachel Rudinger
2024 A* conf
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control.
ICML
Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov
2024 J jnl
PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem.
CoRR
Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov
2024 A* conf
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.
ICML
Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang
2024 J jnl
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.
CoRR
Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang
2024 J jnl
Seamful XAI: Operationalizing Seamful Design in Explainable AI.
Proc. ACM Hum. Comput. Interact.
Upol Ehsan, Q. Vera Liao, Samir Passi, Mark O. Riedl, Hal Daumé III
2024 A* conf
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections.
EMNLP
Lingjun Zhao, Khanh Nguyen, Hal Daumé III
2024 J jnl
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections.
CoRR
Lingjun Zhao, Khanh Nguyen, Hal Daumé III
2024 A conf
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features.
IUI
Navita Goyal, Connor Baumler, Tin Nguyen, Hal Daumé III
2024 A* conf
Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators through a User-Centric Method.
EMNLP
Yang Trista Cao, Lovely-Frances Domingo, Sarah A. Gilbert, Michelle L. Mazurek, Katie Shilton, Hal Daumé III
2024 J jnl
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies.
CoRR
Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang, Jianfeng Gao, Hal Daumé III, Andrey Kolobov, Furong Huang, Jianwei Yang
2024 — conf
Understanding the Impacts of Language Technologies' Performance Disparities on African American Language Speakers.
ACL (Findings)
Jay Cunningham, Su Lin Blodgett, Michael Madaio, Hal Daumé III, Christina N. Harrington, Hanna M. Wallach
2023 J jnl
A Cognitive Evaluation of Instruction Generation Agents tl;dr They Need Better Theory-of-Mind Capabilities.
CoRR
Lingjun Zhao, Khanh Nguyen, Hal Daumé III
2023 A* conf
A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation.
EMNLP
Sandra Sandoval, Jieyu Zhao, Marine Carpuat, Hal Daumé III
2023 A* conf
ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition.
NeurIPS
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
2023 J jnl
ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition.
CoRR
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
2023 — conf
Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models.
ACL (Findings)
Lingjun Zhao, Khanh Nguyen, Hal Daumé III
2023 J jnl
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization.
CoRR
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
2023 J jnl
Evaluating the Social Impact of Generative AI Systems in Systems and Society.
CoRR
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
2023 — conf
Factual or Contextual? Disentangling Error Types in Entity Description Generation.
ACL (1)
Navita Goyal, Ani Nenkova, Hal Daumé III
2023 — conf
FairPrism: Evaluating Fairness-Related Harms in Text Generation.
ACL (1)
Eve Fleisig, Aubrie Amstutz, Chad Atalla, Su Lin Blodgett, Hal Daumé III, Alexandra Olteanu, Emily Sheng, Dan Vann, Hanna M. Wallach
2023 — conf
Hallucination Detection for Grounded Instruction Generation.
EMNLP (Findings)
Lingjun Zhao, Khanh Nguyen, Hal Daumé III
2023 J jnl
Hallucination Detection for Grounded Instruction Generation.
CoRR
Lingjun Zhao, Khanh Nguyen, Hal Daumé III
2023 — conf
Human-Centered Explainable AI (HCXAI): Coming of Age.
CHI Extended Abstracts
Upol Ehsan, Philipp Wintersberger, Elizabeth Anne Watkins, Carina Manger, Gonzalo A. Ramos, Justin D. Weisz, Hal Daumé III, Andreas Riener, Mark O. Riedl
2023 — conf
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance.
ACL (Findings)
Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
2023 J jnl
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance.
CoRR
Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
2023 J jnl
Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong.
CoRR
Chenglei Si, Navita Goyal, Sherry Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber
2023 J jnl
Multilingual large language models leak human stereotypes across language boundaries.
CoRR
Yang Trista Cao, Anna Sotnikova, Jieyu Zhao, Linda X. Zou, Rachel Rudinger, Hal Daumé III
2023 J jnl
Progressively Efficient Learning.
CoRR
Ruijie Zheng, Khanh Nguyen, Hal Daumé III, Furong Huang, Karthik Narasimhan
2023 A* conf
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning.
NeurIPS
Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang
2023 J jnl
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning.
CoRR
Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang
2023 J jnl
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features.
CoRR
Navita Goyal, Connor Baumler, Tin Nguyen, Hal Daumé III
2023 A* conf
Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators.
EMNLP
Tin Nguyen, Jiannan Xu, Aayushi Roy, Hal Daumé III, Marine Carpuat
2023 J jnl
Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators.
CoRR
Tin Nguyen, Jiannan Xu, Aayushi Roy, Hal Daumé III, Marine Carpuat
2023 J jnl
Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators.
CoRR
Yang Trista Cao, Lovely-Frances Domingo, Sarah Ann Gilbert, Michelle L. Mazurek, Katie Shilton, Hal Daumé III
2023 J jnl
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on AI Systems.
CoRR
Navita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey Micher, Clare R. Voss, Marine Carpuat, Hal Daumé III
2023 A* conf
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems.
EMNLP
Navita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey Micher, Clare R. Voss, Marine Carpuat, Hal Daumé III
2023 — conf
Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree.
ACL (Findings)
Connor Baumler, Anna Sotnikova, Hal Daumé III
2022 A* conf
A Framework for Learning to Request Rich and Contextually Useful Information from Humans.
ICML
Khanh X. Nguyen, Yonatan Bisk, Hal Daumé III
2022 — conf
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications.
NAACL-HLT
Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu
2022 J jnl
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications.
CoRR
Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu
2022 J jnl
Heterogeneous Supervised Topic Models.
Trans. Assoc. Comput. Linguistics
Dhanya Sridhar, Hal Daumé III, David M. Blei
2022 J jnl
How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions?
CoRR
Charvi Rastogi, Ivan Stelmakh, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, Zhenyu Xue, Hal Daumé III, Emma Pierson, Nihar B. Shah
2022 — conf
Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI.
CHI Extended Abstracts
Upol Ehsan, Philipp Wintersberger, Q. Vera Liao, Elizabeth Anne Watkins, Carina Manger, Hal Daumé III, Andreas Riener, Mark O. Riedl
2022 — conf
Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints.
FAccT
Amr Sharaf, Hal Daumé III, Renkun Ni
2022 J jnl
Seamful XAI: Operationalizing Seamful Design in Explainable AI.
CoRR
Upol Ehsan, Q. Vera Liao, Samir Passi, Mark O. Riedl, Hal Daumé III
2022 J jnl
Spoken language interaction with robots: Recommendations for future research.
Comput. Speech Lang.
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 J. 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
2022 — conf
Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models.
NAACL-HLT
Yang Trista Cao, Anna Sotnikova, Hal Daumé III, Rachel Rudinger, Linda Zou
2022 J jnl
Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models.
CoRR
Yang Trista Cao, Anna Sotnikova, Hal Daumé III, Rachel Rudinger, Linda Zou
2022 — conf
What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?
AACL/IJCNLP (1)
Yang Trista Cao, Kyle Seelman, Kyungjun Lee, Hal Daumé III
2022 J jnl
What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?
CoRR
Yang Trista Cao, Kyle Seelman, Kyungjun Lee, Hal Daumé III
2021 J jnl
A Human-Centered Interpretability Framework Based on Weight of Evidence.
CoRR
David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé III, Hanna M. Wallach, Jennifer Wortman Vaughan
2021 A* conf
A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences.
AAAI
Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III
2021 — conf
Analyzing Stereotypes in Generative Text Inference Tasks.
ACL/IJCNLP (Findings)
Anna Sotnikova, Yang Trista Cao, Hal Daumé III, Rachel Rudinger
2021 J jnl
Datasheets for datasets.
Commun. ACM
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna M. Wallach, Hal Daumé III, Kate Crawford
2021 — conf
Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation.
EMNLP (1)
Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III
2021 J jnl
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation.
CoRR
Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III
2021 B conf
From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence.
HCOMP
David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé III, Hanna M. Wallach, Jennifer Wortman Vaughan
2021 J jnl
Learning When and What to Ask: a Hierarchical Reinforcement Learning Framework.
CoRR
Khanh Nguyen, Yonatan Bisk, Hal Daumé III
2021 A* conf
Meta-Learning Effective Exploration Strategies for Contextual Bandits.
AAAI
Amr Sharaf, Hal Daumé III
2021 — conf
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval.
NAACL-HLT
Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III
2021 J jnl
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval.
CoRR
Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III
2021 J jnl
Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review.
Proc. ACM Hum. Comput. Interact.
Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III
2021 J jnl
Responsible computing during COVID-19 and beyond.
Commun. ACM
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
2021 J jnl
Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle.
Comput. Linguistics
Yang Trista Cao, Hal Daumé III
2020 J jnl
A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions.
CoRR
Ivan Stelmakh, Charvi Rastogi, Nihar B. Shah, Aarti Singh, Hal Daumé III
2020 J jnl
A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences.
CoRR
Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III
2020 J jnl
Active Imitation Learning from Multiple Non-Deterministic Teachers: Formulation, Challenges, and Algorithms.
CoRR
Khanh Nguyen, Hal Daumé III
2020 A* conf
Active Imitation Learning with Noisy Guidance.
ACL
Kianté Brantley, Hal Daumé III, Amr Sharaf
2020 J jnl
Active Imitation Learning with Noisy Guidance.
CoRR
Kianté Brantley, Amr Sharaf, Hal Daumé III
2020 J jnl
Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields.
IEEE Trans. Learn. Technol.
Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
2020 A* conf
Language (Technology) is Power: A Critical Survey of "Bias" in NLP.
ACL
Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach
2020 J jnl
Language (Technology) is Power: A Critical Survey of "Bias" in NLP.
CoRR
Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach
2020 — conf
Meta-Learning for Few-Shot NMT Adaptation.
NGT@ACL
Amr Sharaf, Hany Hassan, Hal Daumé III
2020 J jnl
Meta-Learning for Few-Shot NMT Adaptation.
CoRR
Amr Sharaf, Hany Hassan, Hal Daumé III
2020 — conf
On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries.
EMNLP (Findings)
Tianze Shi, Chen Zhao, Jordan L. Boyd-Graber, Hal Daumé III, Lillian Lee
2020 J jnl
On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries.
CoRR
Tianze Shi, Chen Zhao, Jordan L. Boyd-Graber, Hal Daumé III, Lillian Lee
2020 A* conf
Operationalizing the Legal Principle of Data Minimization for Personalization.
SIGIR
Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck
2020 J jnl
Operationalizing the Legal Principle of Data Minimization for Personalization.
CoRR
Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck
2020 J jnl
Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review.
CoRR
Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III
2020 — conf
The meaning and measurement of bias: lessons from natural language processing.
FAT*
Abigail Z. Jacobs, Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach
2020 A* conf
Toward Gender-Inclusive Coreference Resolution.
ACL
Yang Trista Cao, Hal Daumé III
2020 J jnl
Towards Automatic Generation of Questions from Long Answers.
CoRR
Shlok Kumar Mishra, Pranav Goel, Abhishek Sharma, Abhyuday Jagannatha, David W. Jacobs, Hal Daumé III
2019 J jnl
Active Learning for Cost-Sensitive Classification.
J. Mach. Learn. Res.
Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé III, John Langford
2019 — conf
Answer-based Adversarial Training for Generating Clarification Questions.
NAACL-HLT (1)
Sudha Rao, Hal Daumé III
2019 J jnl
Answer-based Adversarial Training for Generating Clarification Questions.
CoRR
Sudha Rao, Hal Daumé III
2019 — conf
Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts.
EMNLP/IJCNLP (1)
Elissa M. Redmiles, Lisa N. 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
2019 A* conf
Contextual Memory Trees.
ICML
Wen Sun, Alina Beygelzimer, Hal Daumé III, John Langford, Paul Mineiro
2019 — conf
Controlling the Specificity of Clarification Question Generation.
WNLP@ACL
Yang Trista Cao, Sudha Rao, Hal Daumé III
2019 J jnl
Global Voices: Crossing Borders in Automatic News Summarization.
CoRR
Khanh Nguyen, Hal Daumé III
2019 — conf
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning.
EMNLP/IJCNLP (1)
Khanh Nguyen, Hal Daumé III
2019 — conf
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning.
ViGIL@NeurIPS
Khanh Nguyen, Hal Daumé III
2019 J jnl
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning.
CoRR
Khanh Nguyen, Hal Daumé III
2019 A* conf
Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?
CHI
Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miroslav Dudík, Hanna M. Wallach
2019 J jnl
Meta-Learning for Contextual Bandit Exploration.
CoRR
Amr Sharaf, Hal Daumé III
2019 — conf
Non-Monotonic Sequential Text Generation.
WNLP@ACL
Kianté Brantley, Kyunghyun Cho, Hal Daumé III, Sean Welleck
2019 A* conf
Non-Monotonic Sequential Text Generation.
ICML
Sean Welleck, Kianté Brantley, Hal Daumé III, Kyunghyun Cho
2019 J jnl
Non-Monotonic Sequential Text Generation.
CoRR
Sean Welleck, Kianté Brantley, Hal Daumé III, Kyunghyun Cho
2019 A* conf
Reinforcement Learning with Convex Constraints.
NeurIPS
Sobhan Miryoosefi, Kianté Brantley, Hal Daumé III, Miroslav Dudík, Robert E. Schapire
2019 J jnl
Reinforcement Learning with Convex Constraints.
CoRR
Sobhan Miryoosefi, Kianté Brantley, Hal Daumé III, Miroslav Dudík, Robert E. Schapire
2019 J jnl
Toward Gender-Inclusive Coreference Resolution.
CoRR
Yang Trista Cao, Hal Daumé III
2019 A* conf
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback.
ICML
Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand Negahban
2019 J jnl
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback.
CoRR
Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand N. Negahban
2019 J jnl
Weight of Evidence as a Basis for Human-Oriented Explanations.
CoRR
David Alvarez-Melis, Hal Daumé III, Jennifer Wortman Vaughan, Hanna M. Wallach
2018 A* conf
Content Selection in Deep Learning Models of Summarization.
EMNLP
Chris Kedzie, Kathleen R. McKeown, Hal Daumé III
2018 J jnl
Content Selection in Deep Learning Models of Summarization.
CoRR
Chris Kedzie, Kathleen R. McKeown, Hal Daumé III
2018 J jnl
Contextual Memory Trees.
CoRR
Wen Sun, Alina Beygelzimer, Hal Daumé III, John Langford, Paul Mineiro
2018 J jnl
Datasheets for Datasets.
CoRR
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna M. Wallach, Hal Daumé III, Kate Crawford
2018 — conf
Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings.
CLPsych@NAACL-HTL
Han-Chin Shing, Suraj Nair, Ayah Zirikly, Meir Friedenberg, Hal Daumé III, Philip Resnik
2018 A* conf
Hierarchical Imitation and Reinforcement Learning.
ICML
Hoang Minh Le, Nan Jiang, Alekh Agarwal, Miroslav Dudík, Yisong Yue, Hal Daumé III
2018 J jnl
Hierarchical Imitation and Reinforcement Learning.
CoRR
Hoang Minh Le, Nan Jiang, Alekh Agarwal, Miroslav Dudík, Yisong Yue, Hal Daumé III
2018 J jnl
Improving fairness in machine learning systems: What do industry practitioners need?
CoRR
Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miroslav Dudík, Hanna M. Wallach
2018 — conf
Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information.
ACL (1)
Sudha Rao, Hal Daumé III
2018 J jnl
Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information.
CoRR
Sudha Rao, Hal Daumé III
2018 — conf
Residual Loss Prediction: Reinforcement Learning With No Incremental Feedback.
ICLR (Poster)
Hal Daumé III, John Langford, Amr Sharaf
2018 A* conf
When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks.
USENIX Security Symposium
Octavian Suciu, Radu Marginean, Yigitcan Kaya, Hal Daumé III, Tudor Dumitras
2018 J jnl
When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks.
CoRR
Octavian Suciu, Radu Marginean, Yigitcan Kaya, Hal Daumé III, Tudor Dumitras
2017 A* conf
Active Learning for Cost-Sensitive Classification.
ICML
Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé III, John Langford
2017 J jnl
Active Learning for Cost-Sensitive Classification.
CoRR
Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé III, John Langford
2017 — conf
Biomedical Event Extraction using Abstract Meaning Representation.
BioNLP
Sudha Rao, Daniel Marcu, Kevin Knight, Hal Daumé III
2017 A* conf
Logarithmic Time One-Against-Some.
ICML
Hal Daumé III, Nikos Karampatziakis, John Langford, Paul Mineiro
2017 A* conf
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback.
EMNLP
Khanh Nguyen, Hal Daumé III, Jordan L. Boyd-Graber
2017 J jnl
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback.
CoRR
Khanh Nguyen, Hal Daumé III, Jordan L. Boyd-Graber
2017 — conf
Structured Prediction via Learning to Search under Bandit Feedback.
SPNLP@EMNLP
Amr Sharaf, Hal Daumé III
2017 A* conf
The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives.
CVPR
Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan L. Boyd-Graber, Hal Daumé III, Larry S. Davis
2017 — conf
The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task.
WMT
Amr Sharaf, Shi Feng, Khanh Nguyen, Kianté Brantley, Hal Daumé III
2017 J jnl
The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task.
CoRR
Amr Sharaf, Shi Feng, Khanh Nguyen, Kianté Brantley, Hal Daumé III
2017 J jnl
Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task.
CoRR
Allyson Ettinger, Sudha Rao, Hal Daumé III, Emily M. Bender
2017 A* conf
Unsupervised Learning of Evolving Relationships Between Literary Characters.
AAAI
Snigdha Chaturvedi, Mohit Iyyer, Hal Daumé III
2016 — conf
A Credit Assignment Compiler for Joint Prediction.
NIPS
Kai-Wei Chang, He He, Stéphane Ross, Hal Daumé III, John Langford
2016 — conf
A Framework for Discriminative Rule Selection in Hierarchical Moses.
WMT
Fabienne Braune, Alexander M. Fraser, Hal Daumé III, Ales Tamchyna
2016 A* conf
Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text.
AAAI
Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III
2016 — conf
CLIP$@$UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search.
SemEval@NAACL-HLT
Sudha Rao, Yogarshi Vyas, Hal Daumé III, Philip Resnik
2016 — conf
Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships.
HLT-NAACL
Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan L. Boyd-Graber, Hal Daumé III
2016 — conf
Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation.
HLT-NAACL
He He, Jordan L. Boyd-Graber, Hal Daumé III
2016 J jnl
Large Scale Retrieval and Generation of Image Descriptions.
Int. J. Comput. Vis.
Vicente Ordonez, Xufeng Han, Polina Kuznetsova, Girish Kulkarni, Margaret Mitchell, Kota Yamaguchi, Karl Stratos, Amit Goyal, Jesse Dodge, Alyssa C. Mensch, Hal Daumé III, Alexander C. Berg, Yejin Choi, Tamara L. Berg
2016 J jnl
Learning Reductions That Really Work.
Proc. IEEE
Alina Beygelzimer, Hal Daumé III, John Langford, Paul Mineiro
2016 — conf
Learning Text Pair Similarity with Context-sensitive Autoencoders.
ACL (1)
Hadi Amiri, Philip Resnik, Jordan L. Boyd-Graber, Hal Daumé III
2016 J jnl
Logarithmic Time One-Against-Some.
CoRR
Hal Daumé III, Nikos Karampatziakis, John Langford, Paul Mineiro
2016 A* conf
Modeling Evolving Relationships Between Characters in Literary Novels.
AAAI
Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, Chris Dyer
2016 J jnl
Opponent Modeling in Deep Reinforcement Learning.
CoRR
He He, Jordan L. Boyd-Graber, Kevin Kwok, Hal Daumé III
2016 J jnl
Predicting the impact of scientific concepts using full-text features.
J. Assoc. Inf. Sci. Technol.
Kathy McKeown, Hal Daumé III, Snigdha Chaturvedi, John Paparrizos, Kapil Thadani, Pablo Barrio, Or Biran, Suvarna Bothe, Michael Collins, Kenneth R. Fleischmann, Luis Gravano, Rahul Jha, Ben King, Kevin McInerney, Taesun Moon, Arvind Neelakantan, Diarmuid Ó Séaghdha, Dragomir R. Radev, Thomas Clay Templeton, Simone Teufel
2016 A* conf
Short Text Representation for Detecting Churn in Microblogs.
AAAI
Hadi Amiri, Hal Daumé III
2016 J jnl
The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives.
CoRR
Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan L. Boyd-Graber, Hal Daumé III, Larry S. Davis
2016 — conf
The UMD CLPsych 2016 Shared Task System: Text Representation for Predicting Triage of Forum Posts about Mental Health.
CLPsych@HLT-NAACL
Meir Friedenberg, Hadi Amiri, Hal Daumé III, Philip Resnik
2015 J jnl
Ask, and shall you receive? Understanding Desire Fulfillment in Natural Language Text.
CoRR
Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III
2015 — conf
Deep Unordered Composition Rivals Syntactic Methods for Text Classification.
ACL (1)
Mohit Iyyer, Varun Manjunatha, Jordan L. Boyd-Graber, Hal Daumé III
2015 — conf
Dialogue focus tracking for zero pronoun resolution.
HLT-NAACL
Sudha Rao, Allyson Ettinger, Hal Daumé III, Philip Resnik
2015 — conf
Hands-on Learning to Search for Structured Prediction.
HLT-NAACL
Hal Daumé III, John Langford, Kai-Wei Chang, He He, Sudha Rao
2015 J jnl
Learning Reductions that Really Work.
CoRR
Alina Beygelzimer, Hal Daumé III, John Langford, Paul Mineiro
2015 J jnl
Learning to Search Better Than Your Teacher.
CoRR
Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal, Hal Daumé III, John Langford
2015 A* conf
Learning to Search Better than Your Teacher.
ICML
Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal, Hal Daumé III, John Langford
2015 J jnl
Learning to Search for Dependencies.
CoRR
Kai-Wei Chang, He He, Hal Daumé III, John Langford
2015 J jnl
Modeling Dynamic Relationships Between Characters in Literary Novels.
CoRR
Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, Chris Dyer
2015 — conf
On Correcting Inputs: Inverse Optimization for Online Structured Prediction.
FSTTCS
Hal Daumé III, Samir Khuller, Manish Purohit, Gregory Sanders
2015 J jnl
On Correcting Inputs: Inverse Optimization for Online Structured Prediction.
CoRR
Hal Daumé III, Samir Khuller, Manish Purohit, Gregory Sanders
2015 J jnl
Parser for Abstract Meaning Representation using Learning to Search.
CoRR
Sudha Rao, Yogarshi Vyas, Hal Daumé III, Philip Resnik
2015 J jnl
Synchronous Machine Translation (NII Shonan Meeting 2015-10).
NII Shonan Meet. Rep.
Jordan L. Boyd-Graber, Hal Daumé III, Yusuke Miyao
2015 A* conf
Syntax-based Rewriting for Simultaneous Machine Translation.
EMNLP
He He, Alvin Grissom II, John Morgan, Jordan L. Boyd-Graber, Hal Daumé III
2015 A* conf
Target-Dependent Churn Classification in Microblogs.
AAAI
Hadi Amiri, Hal Daumé III
2015 — conf
Why discourse affects speakers' choice of referring expressions.
ACL (1)
Naho Orita, Eliana Vornov, Naomi Feldman, Hal Daumé III
2014 A conf
"I Object!" Modeling Latent Pragmatic Effects in Courtroom Dialogues.
EACL
Dan Goldwasser, Hal Daumé III
2014 A* conf
A Neural Network for Factoid Question Answering over Paragraphs.
EMNLP
Mohit Iyyer, Jordan L. Boyd-Graber, Leonardo Max Batista Claudino, Richard Socher, Hal Daumé III
2014 — conf
A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation.
ACL (1)
Junhui Li, Yuval Marton, Philip Resnik, Hal Daumé III
2014 J jnl
Bayesian Multitask Learning with Latent Hierarchies.
CoRR
Hal Daumé III
2014 A* conf
Don't Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation.
EMNLP
Alvin Grissom II, He He, Jordan L. Boyd-Graber, John Morgan, Hal Daumé III
2014 J jnl
Efficient programmable learning to search.
CoRR
Hal Daumé III, John Langford, Stéphane Ross
2014 J jnl
Guest Editor's Introduction to the Special Issue on Domain Adaptation for Vision Applications.
Int. J. Comput. Vis.
Dong Xu, Rama Chellappa, Trevor Darrell, Hal Daumé III
2014 J jnl
Integrating a Discriminative Classifier into Phrase-based and Hierarchical Decoding.
Prague Bull. Math. Linguistics
Ales Tamchyna, Fabienne Braune, Alexander M. Fraser, Marine Carpuat, Hal Daumé III, Chris Quirk
2014 A* conf
Learning Latent Engagement Patterns of Students in Online Courses.
AAAI
Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
2014 — conf
Learning to Search in Branch and Bound Algorithms.
NIPS
He He, Hal Daumé III, Jason Eisner
2014 — conf
Predicting Instructor's Intervention in MOOC forums.
ACL (1)
Snigdha Chaturvedi, Dan Goldwasser, Hal Daumé III
2014 B conf
Uncovering hidden engagement patterns for predicting learner performance in MOOCs.
L@S
Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
2014 — conf
Understanding MOOC Discussion Forums using Seeded LDA.
BEA@ACL
Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
2013 J jnl
A Computational Model for Plot Units.
Comput. Intell.
Amit Goyal, Ellen Riloff, Hal Daumé III
2013 — conf
Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent.
NIPS
Yuening Hu, Jordan L. Boyd-Graber, Hal Daumé III, Z. Irene Ying
2013 J jnl
Discrete Algorithms Meet Machine Learning (NII Shonan Meeting 2013-6).
NII Shonan Meet. Rep.
Hal Daumé III, Kevin Duh, Samir Khuller
2013 A* conf
Discriminatively Enhanced Topic Models.
ICDM
Snigdha Chaturvedi, Hal Daumé III, Taesun Moon
2013 A* conf
Dynamic Feature Selection for Dependency Parsing.
EMNLP
He He, Hal Daumé III, Jason Eisner
2013 — ed.
Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 9-14, 2013, Westin Peachtree Plaza Hotel, Atlanta, Georgia, USA
HLT-NAACL
Lucy Vanderwende, Hal Daumé III, Katrin Kirchhoff
2013 J jnl
Improving performance of natural language processing part-of-speech tagging on clinical narratives through domain adaptation.
J. Am. Medical Informatics Assoc.
Jeffrey P. Ferraro, Hal Daumé III, Scott L. DuVall, Wendy Webber Chapman, Henk Harkema, Peter J. Haug
2013 Misc conf
Kernel regression for Head-Related Transfer Function interpolation and spectral extrema extraction.
ICASSP
Yuancheng Luo, Dmitry N. Zotkin, Hal Daumé III, Ramani Duraiswami
2013 J jnl
Measuring Machine Translation Errors in New Domains.
Trans. Assoc. Comput. Linguistics
Ann Irvine, John Morgan, Marine Carpuat, Hal Daumé III, Dragos Stefan Munteanu
2013 — conf
Modeling Syntactic and Semantic Structures in Hierarchical Phrase-based Translation.
HLT-NAACL
Junhui Li, Philip Resnik, Hal Daumé III
2013 A* conf
Monolingual Marginal Matching for Translation Model Adaptation.
EMNLP
Ann Irvine, Chris Quirk, Hal Daumé III
2013 — conf
Predictable Dual-View Hashing.
ICML (3)
Mohammad Rastegari, Jonghyun Choi, Shobeir Fakhraei, Hal Daumé III, Larry S. Davis
2013 — conf
SenseSpotting: Never let your parallel data tie you to an old domain.
ACL (1)
Marine Carpuat, Hal Daumé III, Katharine Henry, Ann Irvine, Jagadeesh Jagarlamudi, Rachel Rudinger
2012 A* conf
A Binary Classification Framework for Two-Stage Multiple Kernel Learning.
ICML
Abhishek Kumar, Alexandru Niculescu-Mizil, Koray Kavukcuoglu, Hal Daumé III
2012 — conf
Besting the Quiz Master: Crowdsourcing Incremental Classification Games.
EMNLP-CoNLL
Jordan L. Boyd-Graber, Brianna Satinoff, He He, Hal Daumé III
2012 — conf
Detecting Visual Text.
HLT-NAACL
Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa C. Mensch, Margaret Mitchell, Karl Stratos, Kota Yamaguchi, Yejin Choi, Hal Daumé III, Alexander C. Berg, Tamara L. Berg
2012 J jnl
Efficient Protocols for Distributed Classification and Optimization
CoRR
Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
2012 B conf
Efficient Protocols for Distributed Classification and Optimization.
ALT
Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
2012 — conf
Fast Large-Scale Approximate Graph Construction for NLP.
EMNLP-CoNLL
Amit Goyal, Hal Daumé III, Raul Guerra
2012 A* conf
Flexible Modeling of Latent Task Structures in Multitask Learning.
ICML
Alexandre Passos, Piyush Rai, Jacques Wainer, Hal Daumé III
2012 A* conf
Generalized Multiview Analysis: A discriminative latent space.
CVPR
Abhishek Sharma, Abhishek Kumar, Hal Daumé III, David W. Jacobs
2012 — conf
Imitation Learning by Coaching.
NIPS
He He, Hal Daumé III, Jason Eisner
2012 A conf
Incorporating Lexical Priors into Topic Models.
EACL
Jagadeesh Jagarlamudi, Hal Daumé III, Raghavendra Udupa
2012 — conf
Learned Prioritization for Trading Off Accuracy and Speed.
NIPS
Jiarong Jiang, Adam R. Teichert, Hal Daumé III, Jason Eisner
2012 A* conf
Learning Task Grouping and Overlap in Multi-task Learning.
ICML
Abhishek Kumar, Hal Daumé III
2012 J jnl
Leveraging Social Bookmarks from Partially Tagged Corpus for Improved Web Page Clustering.
ACM Trans. Intell. Syst. Technol.
Anusua Trivedi, Piyush Rai, Hal Daumé III, Scott L. DuVall
2012 — conf
Low-Dimensional Discriminative Reranking.
HLT-NAACL
Jagadeesh Jagarlamudi, Hal Daumé III
2012 A conf
Midge: Generating Image Descriptions From Computer Vision Detections.
EACL
Margaret Mitchell, Jesse Dodge, Amit Goyal, Kota Yamaguchi, Karl Stratos, Xufeng Han, Alyssa C. Mensch, Alexander C. Berg, Tamara L. Berg, Hal Daumé III
2012 J jnl
Protocols for Learning Classifiers on Distributed Data
CoRR
Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
2012 A conf
Protocols for Learning Classifiers on Distributed Data.
AISTATS
Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
2012 — conf
Regularized Interlingual Projections: Evaluation on Multilingual Transliteration.
EMNLP-CoNLL
Jagadeesh Jagarlamudi, Hal Daumé III
2012 — conf
Sensor Network Localization for Moving Sensors.
ICDM Workshops
Arvind Agarwal, Hal Daumé III, Jeff M. Phillips, Suresh Venkatasubramanian
2012 — conf
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression.
NIPS
Piyush Rai, Abhishek Kumar, Hal Daumé III
2012 — conf
Sketch Algorithms for Estimating Point Queries in NLP.
EMNLP-CoNLL
Amit Goyal, Hal Daumé III, Graham Cormode
2012 A* conf
Towards a Watson that sees: Language-guided action recognition for robots.
ICRA
Ching Lik Teo, Yezhou Yang, Hal Daumé III, Cornelia Fermüller, Yiannis Aloimonos
2012 — conf
Transfer learning in language.
MLSLP
Hal Daumé III
2012 A* conf
Understanding and predicting importance in images.
CVPR
Alexander C. Berg, Tamara L. Berg, Hal Daumé III, Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa C. Mensch, Margaret Mitchell, Aneesh Sood, Karl Stratos, Kota Yamaguchi
2011 A* conf
A Co-training Approach for Multi-view Spectral Clustering.
ICML
Abhishek Kumar, Hal Daumé III
2011 — conf
A Corpus-Guided Framework for Robotic Visual Perception.
Language-Action Tools for Cognitive Artificial Agents
Ching Lik Teo, Yezhou Yang, Hal Daumé III, Cornelia Fermüller, Yiannis Aloimonos
2011 A* conf
A Geometric View of Conjugate Priors.
IJCAI
Arvind Agarwal, Hal Daumé III
2011 — conf
Active Supervised Domain Adaptation.
ECML/PKDD (3)
Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian, Scott L. DuVall
2011 A* conf
Approximate Scalable Bounded Space Sketch for Large Data NLP.
EMNLP
Amit Goyal, Hal Daumé III
2011 A* conf
Beam Search based MAP Estimates for the Indian Buffet Process.
ICML
Piyush Rai, Hal Daumé III
2011 — conf
Beyond Structured Prediction: Inverse Reinforcement Learning.
ACL (Tutorial Abstracts)
Hal Daumé III
2011 — conf
Co-regularized Multi-view Spectral Clustering.
NIPS
Abhishek Kumar, Piyush Rai, Hal Daumé III
2011 A* conf
Corpus-Guided Sentence Generation of Natural Images.
EMNLP
Yezhou Yang, Ching Lik Teo, Hal Daumé III, Yiannis Aloimonos
2011 — conf
Domain Adaptation for Machine Translation by Mining Unseen Words.
ACL (2)
Hal Daumé III, Jagadeesh Jagarlamudi
2011 J jnl
Domain Adaptation for Statistical Classifiers
CoRR
Hal Daumé III, Daniel Marcu
2011 — conf
From Bilingual Dictionaries to Interlingual Document Representations.
ACL (2)
Jagadeesh Jagarlamudi, Hal Daumé III, Raghavendra Udupa
2011 — conf
Generating Semantic Orientation Lexicon using Large Data and Thesaurus.
WASSA@ACL
Amit Goyal, Hal Daumé III
2011 A conf
Generative Kernels for Exponential Families.
AISTATS
Arvind Agarwal, Hal Daumé III
2011 A* conf
Improving Bilingual Projections via Sparse Covariance Matrices.
EMNLP
Jagadeesh Jagarlamudi, Raghavendra Udupa, Hal Daumé III, Abhijit Bhole
2011 A* conf
Lossy Conservative Update (LCU) Sketch: Succinct Approximate Count Storage.
AAAI
Amit Goyal, Hal Daumé III
2011 — conf
Message-Passing for Approximate MAP Inference with Latent Variables.
NIPS
Jiarong Jiang, Piyush Rai, Hal Daumé III
2011 A conf
Online Learning of Multiple Tasks and Their Relationships.
AISTATS
Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian
2011 — conf
Using classifier cascades for scalable e-mail classification.
CEAS
Jay Pujara, Hal Daumé III, Lise Getoor
2010 J jnl
A Geometric View of Conjugate Priors
CoRR
Arvind Agarwal, Hal Daumé III
2010 J jnl
A geometric view of conjugate priors.
Mach. Learn.
Arvind Agarwal, Hal Daumé III
2010 A* conf
Automatically Producing Plot Unit Representations for Narrative Text.
EMNLP
Amit Goyal, Ellen Riloff, Hal Daumé III
2010 — conf
Co-regularization Based Semi-supervised Domain Adaptation.
NIPS
Hal Daumé III, Abhishek Kumar, Avishek Saha
2010 — conf
Exploiting tag and word correlations for improved webpage clustering.
SMUC@CIKM
Anusua Trivedi, Piyush Rai, Scott L. DuVall, Hal Daumé III
2010 J jnl
Exponential Family Hybrid Semi-Supervised Learning
CoRR
Arvind Agarwal, Hal Daumé III
2010 A conf
Extracting Multilingual Topics from Unaligned Comparable Corpora.
ECIR
Jagadeesh Jagarlamudi, Hal Daumé III
2010 A conf
Infinite Predictor Subspace Models for Multitask Learning.
AISTATS
Piyush Rai, Hal Daumé III
2010 A* conf
Kernelized Sorting for Natural Language Processing.
AAAI
Jagadeesh Jagarlamudi, Seth Juarez, Hal Daumé III
2010 — conf
Learning Multiple Tasks using Manifold Regularization.
NIPS
Arvind Agarwal, Hal Daumé III, Samuel Gerber
2010 — conf
Sketching Techniques for Large Scale NLP.
WAC@NAACL-HLT
Amit Goyal, Jagadeesh Jagarlamudi, Hal Daumé III, Suresh Venkatasubramanian
2009 J jnl
A Bayesian Model for Discovering Typological Implications
CoRR
Hal Daumé III, Lyle Campbell
2009 J jnl
A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior
CoRR
Hal Daumé III, Daniel Marcu
2009 J jnl
A Large-Scale Exploration of Effective Global Features for a Joint Entity Detection and Tracking Model
CoRR
Hal Daumé III, Daniel Marcu
2009 J jnl
A Noisy-Channel Model for Document Compression
CoRR
Hal Daumé III, Daniel Marcu
2009 J jnl
Bayesian Multitask Learning with Latent Hierarchies
CoRR
Hal Daumé III
2009 A conf
Bayesian Multitask Learning with Latent Hierarchies.
UAI
Hal Daumé III
2009 J jnl
Bayesian Query-Focused Summarization
CoRR
Hal Daumé III
2009 J jnl
Cross-Task Knowledge-Constrained Self Training
CoRR
Hal Daumé III
2009 A* conf
Exponential Family Hybrid Semi-Supervised Learning.
IJCAI
Arvind Agarwal, Hal Daumé III
2009 J jnl
Fast search for Dirichlet process mixture models
CoRR
Hal Daumé III
2009 J jnl
Frustratingly Easy Domain Adaptation
CoRR
Hal Daumé III
2009 J jnl
Induction of Word and Phrase Alignments for Automatic Document Summarization
CoRR
Hal Daumé III, Daniel Marcu
2009 J jnl
Learning as Search Optimization: Approximate Large Margin Methods for Structured Prediction
CoRR
Hal Daumé III, Daniel Marcu
2009 — conf
Markov Random Topic Fields.
ACL/IJCNLP (2)
Hal Daumé III
2009 — conf
Multi-Label Prediction via Sparse Infinite CCA.
NIPS
Piyush Rai, Hal Daumé III
2009 J jnl
Non-Parametric Bayesian Areal Linguistics
CoRR
Hal Daumé III
2009 — conf
Non-Parametric Bayesian Areal Linguistics.
HLT-NAACL
Hal Daumé III
2009 J jnl
Search-based Structured Prediction
CoRR
Hal Daumé III, John Langford, Daniel Marcu
2009 J jnl
Search-based structured prediction.
Mach. Learn.
Hal Daumé III, John Langford, Daniel Marcu
2009 J jnl
Streamed Learning: One-Pass SVMs
CoRR
Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian
2009 A* conf
Streamed Learning: One-Pass SVMs.
IJCAI
Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian
2009 — conf
Streaming for large scale NLP: Language Modeling.
HLT-NAACL
Amit Goyal, Hal Daumé III, Suresh Venkatasubramanian
2009 J jnl
The Infinite Hierarchical Factor Regression Model
CoRR
Piyush Rai, Hal Daumé III
2009 J jnl
Unsupervised Search-based Structured Prediction
CoRR
Hal Daumé III
2009 A* conf
Unsupervised search-based structured prediction.
ICML
Hal Daumé III
2008 A* conf
Cross-Task Knowledge-Constrained Self Training.
EMNLP
Hal Daumé III
2008 A* conf
Name Translation in Statistical Machine Translation - Learning When to Transliterate.
ACL
Ulf Hermjakob, Kevin Knight, Hal Daumé III
2008 A* conf
Structure compilation: trading structure for features.
ICML
Percy Liang, Hal Daumé III, Dan Klein
2008 — conf
The Infinite Hierarchical Factor Regression Model.
NIPS
Piyush Rai, Hal Daumé III
2007 A* conf
A Bayesian Model for Discovering Typological Implications.
ACL
Hal Daumé III, Lyle Campbell
2007 — conf
Bayesian Agglomerative Clustering with Coalescents.
NIPS
Yee Whye Teh, Hal Daumé III, Daniel M. Roy
2007 A conf
Fast search for Dirichlet process mixture models.
AISTATS
Hal Daumé III
2007 A* conf
Frustratingly Easy Domain Adaptation.
ACL
Hal Daumé III
2006 A* conf
Bayesian Query-Focused Summarization.
ACL
Hal Daumé III, Daniel Marcu
2006 — conf
Beyond EM: Bayesian Techniques for Human Language Technology Researchers.
HLT-NAACL
Hal Daumé III
2006 J jnl
Domain Adaptation for Statistical Classifiers.
J. Artif. Intell. Res.
Hal Daumé III, Daniel Marcu
2005 J jnl
A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior.
J. Mach. Learn. Res.
Hal Daumé III, Daniel Marcu
2005 — conf
A Large-Scale Exploration of Effective Global Features for a Joint Entity Detection and Tracking Model.
HLT/EMNLP
Hal Daumé III, Daniel Marcu
2005 J jnl
Induction of Word and Phrase Alignments for Automatic Document Summarization.
Comput. Linguistics
Hal Daumé III, Daniel Marcu
2005 A* conf
Learning as search optimization: approximate large margin methods for structured prediction.
ICML
Hal Daumé III, Daniel Marcu
2004 A* conf
A Phrase-Based HMM Approach to Document/Abstract Alignment.
EMNLP
Hal Daumé III, Daniel Marcu
2004 J jnl
Book Review, Inderjeet Mani: Automatic Summarization, John Benjamins Publishing, Amsterdam, The Netherlands, 2001, xi + 286 pp.
Mach. Transl.
Hal Daumé III
2004 A* conf
NP Bracketing by Maximum Entropy Tagging and SVM Reranking.
EMNLP
Hal Daumé III, Daniel Marcu
2004 — conf
Web Search Intent Induction via Automatic Query Reformulation.
HLT-NAACL (Short Papers)
Hal Daumé III, Eric Brill
2002 A* conf
A Noisy-Channel Model for Document Compression.
ACL
Hal Daumé III, Daniel Marcu
2002 B conf
The Importance of Lexicalized Syntax Models for Natural Language Generation Tasks.
INLG
Hal Daumé III, Kevin Knight, Irene Langkilde-Geary, Daniel Marcu, Kenji Yamada
2001 — conf
Integrated Information Management: An Interactive, Extensible Architecture for Information Retrieval.
HLT
Eric Nyberg, Hal Daumé III