Integrated Information Management: An Interactive, Extensible Architecture for Information Retrieval. - Eric Nyberg; Hal Daumé III (HLT, 2001)

A Noisy-Channel Model for Document Compression. - Hal Daumé III; Daniel Marcu (ACL, 2002)

The Importance of Lexicalized Syntax Models for Natural Language Generation Tasks. - Hal Daumé III; Kevin Knight; Irene Langkilde-Geary; Daniel Marcu; Kenji Yamada (INLG, 2002)

A Phrase-Based HMM Approach to Document/Abstract Alignment. - Hal Daumé III; Daniel Marcu (EMNLP, 2004)

NP Bracketing by Maximum Entropy Tagging and SVM Reranking. - Hal Daumé III; Daniel Marcu (EMNLP, 2004)

Web Search Intent Induction via Automatic Query Reformulation. - Hal Daumé III; Eric Brill (HLT-NAACL (Short Papers), 2004)

Book Review, Inderjeet Mani: Automatic Summarization, John Benjamins Publishing, Amsterdam, The Netherlands, 2001, xi + 286 pp. - Hal Daumé III (Mach. Transl., 2004)

Learning as search optimization: approximate large margin methods for structured prediction. - Hal Daumé III; Daniel Marcu (ICML, 2005)

A Large-Scale Exploration of Effective Global Features for a Joint Entity Detection and Tracking Model. - Hal Daumé III; Daniel Marcu (HLT/EMNLP, 2005)

Induction of Word and Phrase Alignments for Automatic Document Summarization. - Hal Daumé III; Daniel Marcu (Comput. Linguistics, 2005)

A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior. - Hal Daumé III; Daniel Marcu (J. Mach. Learn. Res., 2005)

Bayesian Query-Focused Summarization. - Hal Daumé III; Daniel Marcu (ACL, 2006)

Beyond EM: Bayesian Techniques for Human Language Technology Researchers. - Hal Daumé III (HLT-NAACL, 2006)

Domain Adaptation for Statistical Classifiers. - Hal Daumé III; Daniel Marcu (J. Artif. Intell. Res., 2006)

Frustratingly Easy Domain Adaptation. - Hal Daumé III (ACL, 2007)

A Bayesian Model for Discovering Typological Implications. - Hal Daumé III; Lyle Campbell (ACL, 2007)

Bayesian Agglomerative Clustering with Coalescents. - Yee Whye Teh; Hal Daumé III; Daniel M. Roy 001 (NIPS, 2007)

Fast search for Dirichlet process mixture models. - Hal Daumé III (AISTATS, 2007)

Name Translation in Statistical Machine Translation - Learning When to Transliterate. - Ulf Hermjakob; Kevin Knight; Hal Daumé III (ACL, 2008)

Cross-Task Knowledge-Constrained Self Training. - Hal Daumé III (EMNLP, 2008)

Structure compilation: trading structure for features. - Percy Liang; Hal Daumé III; Dan Klein 001 (ICML, 2008)

The Infinite Hierarchical Factor Regression Model. - Piyush Rai; Hal Daumé III (NIPS, 2008)

Markov Random Topic Fields. - Hal Daumé III (ACL/IJCNLP (2), 2009)

Unsupervised search-based structured prediction. - Hal Daumé III (ICML, 2009)

Exponential Family Hybrid Semi-Supervised Learning. - Arvind Agarwal; Hal Daumé III (IJCAI, 2009)

Streamed Learning: One-Pass SVMs. - Piyush Rai; Hal Daumé III; Suresh Venkatasubramanian (IJCAI, 2009)

Non-Parametric Bayesian Areal Linguistics. - Hal Daumé III (HLT-NAACL, 2009)

Streaming for large scale NLP: Language Modeling. - Amit Goyal 001; Hal Daumé III; Suresh Venkatasubramanian (HLT-NAACL, 2009)

Multi-Label Prediction via Sparse Infinite CCA. - Piyush Rai; Hal Daumé III (NIPS, 2009)

Bayesian Multitask Learning with Latent Hierarchies. - Hal Daumé III (UAI, 2009)

Bayesian Query-Focused Summarization - Hal Daumé III (CoRR, 2009)

Search-based structured prediction. - Hal Daumé III; John Langford 001; Daniel Marcu (Mach. Learn., 2009)

Kernelized Sorting for Natural Language Processing. - Jagadeesh Jagarlamudi; Seth Juarez; Hal Daumé III (AAAI, 2010)

Sketching Techniques for Large Scale NLP. - Amit Goyal 001; Jagadeesh Jagarlamudi; Hal Daumé III; Suresh Venkatasubramanian (WAC@NAACL-HLT, 2010)

Exploiting tag and word correlations for improved webpage clustering. - Anusua Trivedi; Piyush Rai; Scott L. DuVall; Hal Daumé III (SMUC@CIKM, 2010)

Extracting Multilingual Topics from Unaligned Comparable Corpora. - Jagadeesh Jagarlamudi; Hal Daumé III (ECIR, 2010)

Automatically Producing Plot Unit Representations for Narrative Text. - Amit Goyal 001; Ellen Riloff; Hal Daumé III (EMNLP, 2010)

Learning Multiple Tasks using Manifold Regularization. - Arvind Agarwal; Hal Daumé III; Samuel Gerber (NIPS, 2010)

Co-regularization Based Semi-supervised Domain Adaptation. - Hal Daumé III; Abhishek Kumar 001; Avishek Saha (NIPS, 2010)

Infinite Predictor Subspace Models for Multitask Learning. - Piyush Rai; Hal Daumé III (AISTATS, 2010)

A geometric view of conjugate priors. - Arvind Agarwal; Hal Daumé III (Mach. Learn., 2010)

Lossy Conservative Update (LCU) Sketch: Succinct Approximate Count Storage. - Amit Goyal 001; Hal Daumé III (AAAI, 2011)

A Corpus-Guided Framework for Robotic Visual Perception. - Ching Lik Teo; Yezhou Yang; Hal Daumé III; Cornelia Fermüller; Yiannis Aloimonos (Language-Action Tools for Cognitive Artificial Agents, 2011)

Beyond Structured Prediction: Inverse Reinforcement Learning. - Hal Daumé III (ACL (Tutorial Abstracts), 2011)

Domain Adaptation for Machine Translation by Mining Unseen Words. - Hal Daumé III; Jagadeesh Jagarlamudi (ACL (2), 2011)

From Bilingual Dictionaries to Interlingual Document Representations. - Jagadeesh Jagarlamudi; Hal Daumé III; Raghavendra Udupa (ACL (2), 2011)

Using classifier cascades for scalable e-mail classification. - Jay Pujara; Hal Daumé III; Lise Getoor (CEAS, 2011)

Approximate Scalable Bounded Space Sketch for Large Data NLP. - Amit Goyal 001; Hal Daumé III (EMNLP, 2011)

Improving Bilingual Projections via Sparse Covariance Matrices. - Jagadeesh Jagarlamudi; Raghavendra Udupa; Hal Daumé III; Abhijit Bhole (EMNLP, 2011)

Corpus-Guided Sentence Generation of Natural Images. - Yezhou Yang; Ching Lik Teo; Hal Daumé III; Yiannis Aloimonos (EMNLP, 2011)

A Co-training Approach for Multi-view Spectral Clustering. - Abhishek Kumar 001; Hal Daumé III (ICML, 2011)

Beam Search based MAP Estimates for the Indian Buffet Process. - Piyush Rai; Hal Daumé III (ICML, 2011)

Message-Passing for Approximate MAP Inference with Latent Variables. - Jiarong Jiang; Piyush Rai; Hal Daumé III (NIPS, 2011)

Co-regularized Multi-view Spectral Clustering. - Abhishek Kumar 001; Piyush Rai; Hal Daumé III (NIPS, 2011)

Active Supervised Domain Adaptation. - Avishek Saha; Piyush Rai; Hal Daumé III; Suresh Venkatasubramanian; Scott L. DuVall (ECML/PKDD (3), 2011)

Generating Semantic Orientation Lexicon using Large Data and Thesaurus. - Amit Goyal 001; Hal Daumé III (WASSA@ACL, 2011)

Generative Kernels for Exponential Families. - Arvind Agarwal; Hal Daumé III (AISTATS, 2011)

Online Learning of Multiple Tasks and Their Relationships. - Avishek Saha; Piyush Rai; Hal Daumé III; Suresh Venkatasubramanian (AISTATS, 2011)

Efficient Protocols for Distributed Classification and Optimization. - Hal Daumé III; Jeff M. Phillips; Avishek Saha; Suresh Venkatasubramanian (ALT, 2012)

Understanding and predicting importance in images. - Alexander C. Berg; Tamara L. Berg; Hal Daumé III; Jesse Dodge; Amit Goyal 001; Xufeng Han; Alyssa C. Mensch; Margaret Mitchell; Aneesh Sood; Karl Stratos; Kota Yamaguchi (CVPR, 2012)

Generalized Multiview Analysis: A discriminative latent space. - Abhishek Sharma 001; Abhishek Kumar 001; Hal Daumé III; David W. Jacobs (CVPR, 2012)

Incorporating Lexical Priors into Topic Models. - Jagadeesh Jagarlamudi; Hal Daumé III; Raghavendra Udupa (EACL, 2012)

Midge: Generating Image Descriptions From Computer Vision Detections. - Margaret Mitchell; Jesse Dodge; Amit Goyal 001; Kota Yamaguchi; Karl Stratos; Xufeng Han; Alyssa C. Mensch; Alexander C. Berg; Tamara L. Berg; Hal Daumé III (EACL, 2012)

Besting the Quiz Master: Crowdsourcing Incremental Classification Games. - Jordan L. Boyd-Graber; Brianna Satinoff; He He 001; Hal Daumé III (EMNLP-CoNLL, 2012)

Sketch Algorithms for Estimating Point Queries in NLP. - Amit Goyal 001; Hal Daumé III; Graham Cormode (EMNLP-CoNLL, 2012)

Fast Large-Scale Approximate Graph Construction for NLP. - Amit Goyal 001; Hal Daumé III; Raul Guerra (EMNLP-CoNLL, 2012)

Regularized Interlingual Projections: Evaluation on Multilingual Transliteration. - Jagadeesh Jagarlamudi; Hal Daumé III (EMNLP-CoNLL, 2012)

Sensor Network Localization for Moving Sensors. - Arvind Agarwal; Hal Daumé III; Jeff M. Phillips; Suresh Venkatasubramanian (ICDM Workshops, 2012)

Learning Task Grouping and Overlap in Multi-task Learning. - Abhishek Kumar 001; Hal Daumé III (ICML, 2012)

A Binary Classification Framework for Two-Stage Multiple Kernel Learning. - Abhishek Kumar 001; Alexandru Niculescu-Mizil; Koray Kavukcuoglu; Hal Daumé III (ICML, 2012)

Flexible Modeling of Latent Task Structures in Multitask Learning. - Alexandre Passos; Piyush Rai; Jacques Wainer; Hal Daumé III (ICML, 2012)

Towards a Watson that sees: Language-guided action recognition for robots. - Ching Lik Teo; Yezhou Yang; Hal Daumé III; Cornelia Fermüller; Yiannis Aloimonos (ICRA, 2012)

Transfer learning in language. - Hal Daumé III (MLSLP, 2012)

Detecting Visual Text. - Jesse Dodge; Amit Goyal 001; Xufeng Han; Alyssa C. Mensch; Margaret Mitchell; Karl Stratos; Kota Yamaguchi; Yejin Choi 001; Hal Daumé III; Alexander C. Berg; Tamara L. Berg (HLT-NAACL, 2012)

Low-Dimensional Discriminative Reranking. - Jagadeesh Jagarlamudi; Hal Daumé III (HLT-NAACL, 2012)

Imitation Learning by Coaching. - He He 001; Hal Daumé III; Jason Eisner (NIPS, 2012)

Learned Prioritization for Trading Off Accuracy and Speed. - Jiarong Jiang; Adam R. Teichert; Hal Daumé III; Jason Eisner (NIPS, 2012)

Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression. - Piyush Rai; Abhishek Kumar 001; Hal Daumé III (NIPS, 2012)

Protocols for Learning Classifiers on Distributed Data. - Hal Daumé III; Jeff M. Phillips; Avishek Saha; Suresh Venkatasubramanian (AISTATS, 2012)

Leveraging Social Bookmarks from Partially Tagged Corpus for Improved Web Page Clustering. - Anusua Trivedi; Piyush Rai; Hal Daumé III; Scott L. DuVall (ACM Trans. Intell. Syst. Technol., 2012)

SenseSpotting: Never let your parallel data tie you to an old domain. - Marine Carpuat; Hal Daumé III; Katharine Henry; Ann Irvine; Jagadeesh Jagarlamudi; Rachel Rudinger (ACL (1), 2013)

Dynamic Feature Selection for Dependency Parsing. - He He 001; Hal Daumé III; Jason Eisner (EMNLP, 2013)

Monolingual Marginal Matching for Translation Model Adaptation. - Ann Irvine; Chris Quirk; Hal Daumé III (EMNLP, 2013)

Kernel regression for Head-Related Transfer Function interpolation and spectral extrema extraction. - Yuancheng Luo; Dmitry N. Zotkin; Hal Daumé III; Ramani Duraiswami (ICASSP, 2013)

Discriminatively Enhanced Topic Models. - Snigdha Chaturvedi; Hal Daumé III; Taesun Moon (ICDM, 2013)

Predictable Dual-View Hashing. - Mohammad Rastegari; Jonghyun Choi; Shobeir Fakhraei; Hal Daumé III; Larry S. Davis (ICML (3), 2013)

Modeling Syntactic and Semantic Structures in Hierarchical Phrase-based Translation. - Junhui Li; Philip Resnik; Hal Daumé III (HLT-NAACL, 2013)

Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent. - Yuening Hu; Jordan L. Boyd-Graber; Hal Daumé III; Z. Irene Ying (NIPS, 2013)

A Computational Model for Plot Units. - Amit Goyal 001; Ellen Riloff; Hal Daumé III (Comput. Intell., 2013)

Improving performance of natural language processing part-of-speech tagging on clinical narratives through domain adaptation. - Jeffrey P. Ferraro; Hal Daumé III; Scott L. DuVall; Wendy Webber Chapman; Henk Harkema; Peter J. Haug (J. Am. Medical Informatics Assoc., 2013)

Discrete Algorithms Meet Machine Learning (NII Shonan Meeting 2013-6). - Hal Daumé III; Kevin Duh; Samir Khuller (NII Shonan Meet. Rep., 2013)

Measuring Machine Translation Errors in New Domains. - Ann Irvine; John Morgan; Marine Carpuat; Hal Daumé III; Dragos Stefan Munteanu (Trans. Assoc. Comput. Linguistics, 2013)

Learning Latent Engagement Patterns of Students in Online Courses. - Arti Ramesh; Dan Goldwasser; Bert Huang; Hal Daumé III; Lise Getoor (AAAI, 2014)

Predicting Instructor's Intervention in MOOC forums. - Snigdha Chaturvedi; Dan Goldwasser; Hal Daumé III (ACL (1), 2014)

A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation. - Junhui Li; Yuval Marton; Philip Resnik; Hal Daumé III (ACL (1), 2014)

Understanding MOOC Discussion Forums using Seeded LDA. - Arti Ramesh; Dan Goldwasser; Bert Huang; Hal Daumé III; Lise Getoor (BEA@ACL, 2014)

"I Object!" Modeling Latent Pragmatic Effects in Courtroom Dialogues. - Dan Goldwasser; Hal Daumé III (EACL, 2014)

Don't Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation. - Alvin Grissom II; He He 001; Jordan L. Boyd-Graber; John Morgan; Hal Daumé III (EMNLP, 2014)

A Neural Network for Factoid Question Answering over Paragraphs. - Mohit Iyyer; Jordan L. Boyd-Graber; Leonardo Max Batista Claudino; Richard Socher; Hal Daumé III (EMNLP, 2014)

Uncovering hidden engagement patterns for predicting learner performance in MOOCs. - Arti Ramesh; Dan Goldwasser; Bert Huang; Hal Daumé III; Lise Getoor (L@S, 2014)

Learning to Search in Branch and Bound Algorithms. - He He 001; Hal Daumé III; Jason Eisner (NIPS, 2014)

Efficient programmable learning to search. - Hal Daumé III; John Langford 001; Stéphane Ross (CoRR, 2014)

Guest Editor's Introduction to the Special Issue on Domain Adaptation for Vision Applications. - Dong Xu 001; Rama Chellappa; Trevor Darrell; Hal Daumé III (Int. J. Comput. Vis., 2014)

Integrating a Discriminative Classifier into Phrase-based and Hierarchical Decoding. - Ales Tamchyna; Fabienne Braune; Alexander M. Fraser; Marine Carpuat; Hal Daumé III; Chris Quirk (Prague Bull. Math. Linguistics, 2014)

Target-Dependent Churn Classification in Microblogs. - Hadi Amiri; Hal Daumé III (AAAI, 2015)

Deep Unordered Composition Rivals Syntactic Methods for Text Classification. - Mohit Iyyer; Varun Manjunatha; Jordan L. Boyd-Graber; Hal Daumé III (ACL (1), 2015)

Why discourse affects speakers' choice of referring expressions. - Naho Orita; Eliana Vornov; Naomi Feldman; Hal Daumé III (ACL (1), 2015)

Syntax-based Rewriting for Simultaneous Machine Translation. - He He 001; Alvin Grissom II; John Morgan; Jordan L. Boyd-Graber; Hal Daumé III (EMNLP, 2015)

On Correcting Inputs: Inverse Optimization for Online Structured Prediction. - Hal Daumé III; Samir Khuller; Manish Purohit; Gregory Sanders (FSTTCS, 2015)

Learning to Search Better than Your Teacher. - Kai-Wei Chang; Akshay Krishnamurthy; Alekh Agarwal; Hal Daumé III; John Langford 001 (ICML, 2015)

Hands-on Learning to Search for Structured Prediction. - Hal Daumé III; John Langford 001; Kai-Wei Chang; He He 001; Sudha Rao (HLT-NAACL, 2015)

Dialogue focus tracking for zero pronoun resolution. - Sudha Rao; Allyson Ettinger; Hal Daumé III; Philip Resnik (HLT-NAACL, 2015)

Learning to Search for Dependencies. - Kai-Wei Chang; He He 001; Hal Daumé III; John Langford 001 (CoRR, 2015)

Modeling Dynamic Relationships Between Characters in Literary Novels. - Snigdha Chaturvedi; Shashank Srivastava; Hal Daumé III; Chris Dyer (CoRR, 2015)

Parser for Abstract Meaning Representation using Learning to Search. - Sudha Rao; Yogarshi Vyas; Hal Daumé III; Philip Resnik (CoRR, 2015)

Synchronous Machine Translation (NII Shonan Meeting 2015-10). - Jordan L. Boyd-Graber; Hal Daumé III; Yusuke Miyao (NII Shonan Meet. Rep., 2015)

Short Text Representation for Detecting Churn in Microblogs. - Hadi Amiri; Hal Daumé III (AAAI, 2016)

Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text. - Snigdha Chaturvedi; Dan Goldwasser; Hal Daumé III (AAAI, 2016)

Modeling Evolving Relationships Between Characters in Literary Novels. - Snigdha Chaturvedi; Shashank Srivastava; Hal Daumé III; Chris Dyer (AAAI, 2016)

Learning Text Pair Similarity with Context-sensitive Autoencoders. - Hadi Amiri; Philip Resnik; Jordan L. Boyd-Graber; Hal Daumé III (ACL (1), 2016)

The UMD CLPsych 2016 Shared Task System: Text Representation for Predicting Triage of Forum Posts about Mental Health. - Meir Friedenberg; Hadi Amiri; Hal Daumé III; Philip Resnik (CLPsych@HLT-NAACL, 2016)

Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation. - He He 001; Jordan L. Boyd-Graber; Hal Daumé III (HLT-NAACL, 2016)

Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships. - Mohit Iyyer; Anupam Guha; Snigdha Chaturvedi; Jordan L. Boyd-Graber; Hal Daumé III (HLT-NAACL, 2016)

A Credit Assignment Compiler for Joint Prediction. - Kai-Wei Chang; He He 001; Stéphane Ross; Hal Daumé III; John Langford 001 (NIPS, 2016)

CLIP$@$UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search. - Sudha Rao; Yogarshi Vyas; Hal Daumé III; Philip Resnik (SemEval@NAACL-HLT, 2016)

A Framework for Discriminative Rule Selection in Hierarchical Moses. - Fabienne Braune; Alexander M. Fraser; Hal Daumé III; Ales Tamchyna (WMT, 2016)

Opponent Modeling in Deep Reinforcement Learning. - He He 001; Jordan L. Boyd-Graber; Kevin Kwok; Hal Daumé III (CoRR, 2016)

Large Scale Retrieval and Generation of Image Descriptions. - Vicente Ordonez; Xufeng Han; Polina Kuznetsova; Girish Kulkarni; Margaret Mitchell; Kota Yamaguchi; Karl Stratos; Amit Goyal 001; Jesse Dodge; Alyssa C. Mensch; Hal Daumé III; Alexander C. Berg; et al. (Int. J. Comput. Vis., 2016)

Predicting the impact of scientific concepts using full-text features. - Kathy McKeown; Hal Daumé III; Snigdha Chaturvedi; John Paparrizos; Kapil Thadani; Pablo Barrio 002; Or Biran; Suvarna Bothe; Michael Collins 001; Kenneth R. Fleischmann; Luis Gravano; Rahul Jha; et al. (J. Assoc. Inf. Sci. Technol., 2016)

Learning Reductions That Really Work. - Alina Beygelzimer; Hal Daumé III; John Langford 001; Paul Mineiro (Proc. IEEE, 2016)

Unsupervised Learning of Evolving Relationships Between Literary Characters. - Snigdha Chaturvedi; Mohit Iyyer; Hal Daumé III (AAAI, 2017)

Biomedical Event Extraction using Abstract Meaning Representation. - Sudha Rao; Daniel Marcu; Kevin Knight; Hal Daumé III (BioNLP, 2017)

The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives. - Mohit Iyyer; Varun Manjunatha; Anupam Guha; Yogarshi Vyas; Jordan L. Boyd-Graber; Hal Daumé III; Larry S. Davis (CVPR, 2017)

Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback. - Khanh Nguyen; Hal Daumé III; Jordan L. Boyd-Graber (EMNLP, 2017)

Structured Prediction via Learning to Search under Bandit Feedback. - Amr Sharaf; Hal Daumé III (SPNLP@EMNLP, 2017)

Logarithmic Time One-Against-Some. - Hal Daumé III; Nikos Karampatziakis; John Langford 001; Paul Mineiro (ICML, 2017)

The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task. - Amr Sharaf; Shi Feng 005; Khanh Nguyen; Kianté Brantley; Hal Daumé III (WMT, 2017)

Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task. - Allyson Ettinger; Sudha Rao; Hal Daumé III; Emily M. Bender (CoRR, 2017)

Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings. - Han-Chin Shing; Suraj Nair 001; Ayah Zirikly; Meir Friedenberg; Hal Daumé III; Philip Resnik (CLPsych@NAACL-HTL, 2018)

Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information. - Sudha Rao; Hal Daumé III (ACL (1), 2018)

Content Selection in Deep Learning Models of Summarization. - Chris Kedzie; Kathleen R. McKeown; Hal Daumé III (EMNLP, 2018)

Residual Loss Prediction: Reinforcement Learning With No Incremental Feedback. - Hal Daumé III; John Langford 001; Amr Sharaf (ICLR (Poster), 2018)

Hierarchical Imitation and Reinforcement Learning. - Hoang Minh Le 002; Nan Jiang 008; Alekh Agarwal; Miroslav Dudík; Yisong Yue; Hal Daumé III (ICML, 2018)

When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks. - Octavian Suciu; Radu Marginean; Yigitcan Kaya; Hal Daumé III; Tudor Dumitras (USENIX Security Symposium, 2018)

Controlling the Specificity of Clarification Question Generation. - Yang Trista Cao; Sudha Rao; Hal Daumé III (WNLP@ACL, 2019)

Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need? - Kenneth Holstein; Jennifer Wortman Vaughan; Hal Daumé III; Miroslav Dudík; Hanna M. Wallach (CHI, 2019)

Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts. - 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; et al. (EMNLP/IJCNLP (1), 2019)

Contextual Memory Trees. - Wen Sun 002; Alina Beygelzimer; Hal Daumé III; John Langford 001; Paul Mineiro (ICML, 2019)

Non-Monotonic Sequential Text Generation. - Sean Welleck; Kianté Brantley; Hal Daumé III; Kyunghyun Cho (ICML, 2019)

Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback. - Chicheng Zhang; Alekh Agarwal; Hal Daumé III; John Langford 001; Sahand Negahban (ICML, 2019)

Answer-based Adversarial Training for Generating Clarification Questions. - Sudha Rao; Hal Daumé III (NAACL-HLT (1), 2019)

Reinforcement Learning with Convex Constraints. - Sobhan Miryoosefi; Kianté Brantley; Hal Daumé III; Miroslav Dudík; Robert E. Schapire (NeurIPS, 2019)

Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning. - Khanh Nguyen; Hal Daumé III (ViGIL@NeurIPS, 2019)

Meta-Learning for Contextual Bandit Exploration. - Amr Sharaf; Hal Daumé III (CoRR, 2019)

Global Voices: Crossing Borders in Automatic News Summarization. - Khanh Nguyen; Hal Daumé III (CoRR, 2019)

Weight of Evidence as a Basis for Human-Oriented Explanations. - David Alvarez-Melis; Hal Daumé III; Jennifer Wortman Vaughan; Hanna M. Wallach (CoRR, 2019)

Active Learning for Cost-Sensitive Classification. - Akshay Krishnamurthy; Alekh Agarwal; Tzu-Kuo Huang; Hal Daumé III; John Langford 001 (J. Mach. Learn. Res., 2019)

Language (Technology) is Power: A Critical Survey of "Bias" in NLP. - Su Lin Blodgett; Solon Barocas; Hal Daumé III; Hanna M. Wallach (ACL, 2020)

Active Imitation Learning with Noisy Guidance. - Kianté Brantley; Hal Daumé III; Amr Sharaf (ACL, 2020)

Toward Gender-Inclusive Coreference Resolution. - Yang Trista Cao; Hal Daumé III (ACL, 2020)

Meta-Learning for Few-Shot NMT Adaptation. - Amr Sharaf; Hany Hassan; Hal Daumé III (NGT@ACL, 2020)

On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries. - Tianze Shi; Chen Zhao 009; Jordan L. Boyd-Graber; Hal Daumé III; Lillian Lee (EMNLP (Findings), 2020)

The meaning and measurement of bias: lessons from natural language processing. - Abigail Z. Jacobs; Su Lin Blodgett; Solon Barocas; Hal Daumé III; Hanna M. Wallach (FAT*, 2020)

Operationalizing the Legal Principle of Data Minimization for Personalization. - Asia J. Biega; Peter Potash; Hal Daumé III; Fernando Diaz 001; Michèle Finck (SIGIR, 2020)

Towards Automatic Generation of Questions from Long Answers. - Shlok Kumar Mishra; Pranav Goel 001; Abhishek Sharma 001; Abhyuday Jagannatha; David W. Jacobs; Hal Daumé III (CoRR, 2020)

Active Imitation Learning from Multiple Non-Deterministic Teachers: Formulation, Challenges, and Algorithms. - Khanh Nguyen; Hal Daumé III (CoRR, 2020)

A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions. - Ivan Stelmakh; Charvi Rastogi; Nihar B. Shah; Aarti Singh; Hal Daumé III (CoRR, 2020)

Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields. - Arti Ramesh; Dan Goldwasser; Bert Huang; Hal Daumé III; Lise Getoor (IEEE Trans. Learn. Technol., 2020)

Meta-Learning Effective Exploration Strategies for Contextual Bandits. - Amr Sharaf; Hal Daumé III (AAAI, 2021)

A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences. - Ivan Stelmakh; Nihar B. Shah; Aarti Singh; Hal Daumé III (AAAI, 2021)

Analyzing Stereotypes in Generative Text Inference Tasks. - Anna Sotnikova; Yang Trista Cao; Hal Daumé III; Rachel Rudinger (ACL/IJCNLP (Findings), 2021)

Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation. - Chen Zhao 009; Chenyan Xiong; Jordan L. Boyd-Graber; Hal Daumé III (EMNLP (1), 2021)

From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence. - David Alvarez-Melis; Harmanpreet Kaur; Hal Daumé III; Hanna M. Wallach; Jennifer Wortman Vaughan (HCOMP, 2021)

Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval. - Chen Zhao 009; Chenyan Xiong; Jordan L. Boyd-Graber; Hal Daumé III (NAACL-HLT, 2021)

Responsible computing during COVID-19 and beyond. - Solon Barocas; Asia J. Biega; Margarita Boyarskaya; Kate Crawford 002; Hal Daumé III; Miroslav Dudík; Benjamin Fish; Mary L. Gray; Brent J. Hecht; Alexandra Olteanu; Forough Poursabzi-Sangdeh; Luke Stark; et al. (Commun. ACM, 2021)

Datasheets for datasets. - Timnit Gebru; Jamie Morgenstern; Briana Vecchione; Jennifer Wortman Vaughan; Hanna M. Wallach; Hal Daumé III; Kate Crawford 002 (Commun. ACM, 2021)

Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle. - Yang Trista Cao; Hal Daumé III (Comput. Linguistics, 2021)

A Human-Centered Interpretability Framework Based on Weight of Evidence. - David Alvarez-Melis; Harmanpreet Kaur; Hal Daumé III; Hanna M. Wallach; Jennifer Wortman Vaughan (CoRR, 2021)

Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation. - Chen Zhao 009; Chenyan Xiong; Jordan L. Boyd-Graber; Hal Daumé III (CoRR, 2021)

Learning When and What to Ask: a Hierarchical Reinforcement Learning Framework. - Khanh Nguyen; Yonatan Bisk; Hal Daumé III (CoRR, 2021)

Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review. - Ivan Stelmakh; Nihar B. Shah; Aarti Singh; Hal Daumé III (Proc. ACM Hum. Comput. Interact., 2021)

Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI. - Upol Ehsan; Philipp Wintersberger; Q. Vera Liao; Elizabeth Anne Watkins; Carina Manger; Hal Daumé III; Andreas Riener; Mark O. Riedl (CHI Extended Abstracts, 2022)

Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints. - Amr Sharaf; Hal Daumé III; Renkun Ni (FAccT, 2022)

A Framework for Learning to Request Rich and Contextually Useful Information from Humans. - Khanh X. Nguyen; Yonatan Bisk; Hal Daumé III (ICML, 2022)

What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility? - Yang Trista Cao; Kyle Seelman; Kyungjun Lee; Hal Daumé III (AACL/IJCNLP (1), 2022)

Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models. - Yang Trista Cao; Anna Sotnikova; Hal Daumé III; Rachel Rudinger; Linda Zou (NAACL-HLT, 2022)

Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. - Kaitlyn Zhou; Su Lin Blodgett; Adam Trischler; Hal Daumé III; Kaheer Suleman; Alexandra Olteanu (NAACL-HLT, 2022)

How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions? - Charvi Rastogi; Ivan Stelmakh; Alina Beygelzimer; Yann N. Dauphin; Percy Liang; Jennifer Wortman Vaughan; Zhenyu Xue; Hal Daumé III; Emma Pierson; Nihar B. Shah (CoRR, 2022)

Spoken language interaction with robots: Recommendations for future research. - 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; et al. (Comput. Speech Lang., 2022)

Heterogeneous Supervised Topic Models. - Dhanya Sridhar; Hal Daumé III; David M. Blei (Trans. Assoc. Comput. Linguistics, 2022)

Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree. - Connor Baumler; Anna Sotnikova; Hal Daumé III (ACL (Findings), 2023)

FairPrism: Evaluating Fairness-Related Harms in Text Generation. - Eve Fleisig; Aubrie Amstutz; Chad Atalla; Su Lin Blodgett; Hal Daumé III; Alexandra Olteanu; Emily Sheng; Dan Vann; Hanna M. Wallach (ACL (1), 2023)

Factual or Contextual? Disentangling Error Types in Entity Description Generation. - Navita Goyal; Ani Nenkova; Hal Daumé III (ACL (1), 2023)

It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance. - Arjun Subramonian; Xingdi Yuan; Hal Daumé III; Su Lin Blodgett (ACL (Findings), 2023)

Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models. - Lingjun Zhao; Khanh Nguyen; Hal Daumé III (ACL (Findings), 2023)

Human-Centered Explainable AI (HCXAI): Coming of Age. - Upol Ehsan; Philipp Wintersberger; Elizabeth Anne Watkins; Carina Manger; Gonzalo A. Ramos; Justin D. Weisz; Hal Daumé III; Andreas Riener; Mark O. Riedl (CHI Extended Abstracts, 2023)

Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators. - Tin Nguyen 005; Jiannan Xu; Aayushi Roy; Hal Daumé III; Marine Carpuat (EMNLP, 2023)

What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems. - Navita Goyal; Eleftheria Briakou; Amanda Liu; Connor Baumler; Claire Bonial; Jeffrey Micher; Clare R. Voss; Marine Carpuat; Hal Daumé III (EMNLP, 2023)

A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation. - Sandra Sandoval; Jieyu Zhao 001; Marine Carpuat; Hal Daumé III (EMNLP, 2023)

Hallucination Detection for Grounded Instruction Generation. - Lingjun Zhao; Khanh Nguyen; Hal Daumé III (EMNLP (Findings), 2023)

ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition. - 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 (NeurIPS, 2023)

TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. - Ruijie Zheng; Xiyao Wang; Yanchao Sun; Shuang Ma; Jieyu Zhao 001; Huazhe Xu; Hal Daumé III; Furong Huang (NeurIPS, 2023)

A Cognitive Evaluation of Instruction Generation Agents tl;dr They Need Better Theory-of-Mind Capabilities. - Lingjun Zhao; Khanh Nguyen; Hal Daumé III (CoRR, 2023)

ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition. - 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 (CoRR, 2023)

What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on AI Systems. - Navita Goyal; Eleftheria Briakou; Amanda Liu; Connor Baumler; Claire Bonial; Jeffrey Micher; Clare R. Voss; Marine Carpuat; Hal Daumé III (CoRR, 2023)

Evaluating the Social Impact of Generative AI Systems in Systems and Society. - 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; et al. (CoRR, 2023)

Progressively Efficient Learning. - Ruijie Zheng; Khanh Nguyen; Hal Daumé III; Furong Huang; Karthik Narasimhan (CoRR, 2023)

Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators. - Yang Trista Cao; Lovely-Frances Domingo; Sarah Ann Gilbert; Michelle L. Mazurek; Katie Shilton; Hal Daumé III (CoRR, 2023)

Multilingual large language models leak human stereotypes across language boundaries. - Yang Trista Cao; Anna Sotnikova; Jieyu Zhao 001; Linda X. Zou; Rachel Rudinger; Hal Daumé III (CoRR, 2023)

Understanding the Impacts of Language Technologies' Performance Disparities on African American Language Speakers. - Jay Cunningham; Su Lin Blodgett; Michael Madaio; Hal Daumé III; Christina Harrington; Hanna M. Wallach (ACL (Findings), 2024)

Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators through a User-Centric Method. - Yang Trista Cao; Lovely-Frances Domingo; Sarah A. Gilbert; Michelle L. Mazurek; Katie Shilton; Hal Daumé III (EMNLP, 2024)

Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA. - Maharshi Gor; Hal Daumé III; Tianyi Zhou 001; Jordan L. Boyd-Graber (EMNLP, 2024)

HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models. - Huy Nghiem; Hal Daumé III (EMNLP (Findings), 2024)

"You Gotta be a Doctor, Lin" : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations. - Huy Nghiem; John Prindle; Jieyu Zhao 001; Hal Daumé III (EMNLP, 2024)

ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles. - Kayo Yin; Chinmay Singh; Fyodor Minakov; Vanessa Milan; Hal Daumé III; Cyril Zhang; Alex Lu 002; Danielle Bragg (EMNLP, 2024)

Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections. - Lingjun Zhao; Khanh Nguyen; Hal Daumé III (EMNLP, 2024)

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. - Guowei Xu 001; Ruijie Zheng; Yongyuan Liang; Xiyao Wang; Zhecheng Yuan; Tianying Ji; Yu Luo; Xiaoyu Liu 003; Jiaxin Yuan; Pu Hua; Shuzhen Li; Yanjie Ze; et al. (ICLR, 2024)

PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control. - Ruijie Zheng; Ching-An Cheng; Hal Daumé III; Furong Huang; Andrey Kolobov (ICML, 2024)

Premier-TACO 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; Huazhe Xu; John Langford 001; Praveen Palanisamy; Kalyan Shankar Basu; Furong Huang (ICML, 2024)

The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features. - Navita Goyal; Connor Baumler; Tin Nguyen 005; Hal Daumé III (IUI, 2024)

Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong. - Chenglei Si; Navita Goyal; Tongshuang Wu; Chen Zhao 009; Shi Feng 005; Hal Daumé III; Jordan L. Boyd-Graber (NAACL-HLT, 2024)

PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem. - Ruijie Zheng; Ching-An Cheng; Hal Daumé III; Furong Huang; Andrey Kolobov (CoRR, 2024)

A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions. - Charvi Rastogi; Xiangchen Song; Zhijing Jin 001; Ivan Stelmakh; Hal Daumé III; Kun Zhang 001; Nihar B. Shah (CoRR, 2024)

Anti-stereotypical Predictive Text Suggestions Do Not Reliably Yield Anti-stereotypical Writing. - Connor Baumler; Hal Daumé III (CoRR, 2024)

Causal Effect of Group Diversity on Redundancy and Coverage in Peer-Reviewing. - Navita Goyal; Ivan Stelmakh; Nihar B. Shah; Hal Daumé III (CoRR, 2024)

Seamful XAI: Operationalizing Seamful Design in Explainable AI. - Upol Ehsan; Q. Vera Liao; Samir Passi; Mark O. Riedl; Hal Daumé III (Proc. ACM Hum. Comput. Interact., 2024)

Can Hallucination Correction Improve Video-Language Alignment? - Lingjun Zhao; Mingyang Xie; Paola Cascante-Bonilla; Hal Daumé III; Kwonjoon Lee (ACL (Findings), 2025)

Natural Language Inference Improves Compositionality in Vision-Language Models. - Paola Cascante-Bonilla; Yu Hou; Yang Trista Cao; Hal Daumé III; Rachel Rudinger (ICLR, 2025)

TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies. - Ruijie Zheng; Yongyuan Liang; Shuaiyi Huang; Jianfeng Gao 001; Hal Daumé III; Andrey Kolobov; Furong Huang; Jianwei Yang (ICLR, 2025)

Language Models Predict Empathy Gaps Between Social In-groups and Out-groups. - Yu Hou; Hal Daumé III; Rachel Rudinger (NAACL (Long Papers), 2025)

My LLM might Mimic AAE - But When Should It? - Sandra Sandoval; Christabel Acquaye; Kwesi A. Cobbina; Mohammad Nayeem Teli; Hal Daumé III (NAACL (Long Papers), 2025)

How May U.S. Courts Scrutinize Their Recidivism Risk Assessment Tools? Contextualizing AI Fairness Criteria on a Judicial Scrutiny-based Framework. - Tin Nguyen 005; Jiannan Xu; Phuong-Anh Nguyen-Le; Jonathan Lazar; Donald Braman; Hal Daumé III; Zubin Jelveh (CoRR, 2025)

Which Demographic Features Are Relevant for Individual Fairness Evaluation of U.S. Recidivism Risk Assessment Tools? - Tin Trung Nguyen; Jiannan Xu; Phuong-Anh Nguyen-Le; Jonathan Lazar; Donald Braman; Hal Daumé III; Zubin Jelveh (CoRR, 2025)

A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations. - Lingjun Zhao; Hal Daumé III (CoRR, 2025)

Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics. - Tin Nguyen 005; Jiannan Xu; Zora Che; Phuong-Anh Nguyen-Le; Rushil Dandamudi; Donald Braman; Furong Huang; Hal Daumé III; Zubin Jelveh (CoRR, 2025)

An Interdisciplinary Approach to Human-Centered Machine Translation. - Marine Carpuat; Omri Asscher; Kalika Bali; Luisa Bentivogli; Frédéric Blain; Lynne Bowker; Monojit Choudhury; Hal Daumé III; Kevin Duh; Ge Gao 001; Alvin Grissom II; Marzena Karpinska; et al. (CoRR, 2025)

Beyond Blanket Masking: Examining Granularity for Privacy Protection in Images Captured by Blind and Low Vision Users. - Jeffri Murrugarra-Llerena; Haoran Niu; K. Suzanne Barber; Hal Daumé III; Yang Trista Cao; Paola Cascante-Bonilla (CoRR, 2025)