Hal Daume III

Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style ACL 2026 SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models ACL 2026 Steering Safely or Off a Cliff? Rethinking Specificity and Robustness in Inference-Time Interventions EACL 2026 A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations EMNLP 2025 An Interdisciplinary Approach to Human-Centered Machine Translation EMNLP 2025 Can Hallucination Correction Improve Video-Language Alignment? ACL 2025 Investigating Dictionary Expansion for Video-based Sign Language Dictionaries EMNLP 2025 Language Models Predict Empathy Gaps Between Social In-groups and Out-groups NAACL 2025 Multilingual Large Language Models Leak Human Stereotypes across Language Boundaries ACL 2025 My LLM might Mimic AAE - But When Should It? NAACL 2025 Natural Language Inference Improves Compositionality in Vision-Language Models ICLR 2025 ‘Rich Dad, Poor Lad’: How do Large Language Models Contextualize Socioeconomic Factors in College Admission ? EMNLP 2025 TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies ICLR 2025 Who’s the Author? How Explanations Impact User Reliance in AI-Assisted Authorship Attribution EMNLP 2025 ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles EMNLP 2024 Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA EMNLP 2024 DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization ICLR 2024 HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models EMNLP 2024 Large Language Models Help Humans Verify Truthfulness – Except When They Are Convincingly Wrong NAACL 2024 Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss ICML 2024 PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control ICML 2024 Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections EMNLP 2024 Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators through a User-Centric Method EMNLP 2024 Understanding the Impacts of Language Technologies’ Performance Disparities on African American Language Speakers ACL 2024 “You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations EMNLP 2024 TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning NeurIPS 2023 A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation EMNLP 2023 ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition NeurIPS 2023 Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models ACL 2023 Factual or Contextual? Disentangling Error Types in Entity Description Generation ACL 2023 FairPrism: Evaluating Fairness-Related Harms in Text Generation ACL 2023 Hallucination Detection for Grounded Instruction Generation EMNLP 2023 It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance ACL 2023 Towards Conceptualization of “Fair Explanation”: Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators EMNLP 2023 What Else Do I Need to Know? The Effect of Background Information on Users’ Reliance on QA Systems EMNLP 2023 Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree ACL 2023 A Framework for Learning to Request Rich and Contextually Useful Information from Humans ICML 2022 Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications NAACL 2022 Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models NAACL 2022 What’s Different between Visual Question Answering for Machine “Understanding” Versus for Accessibility? AACL 2022 Analyzing Stereotypes in Generative Text Inference Tasks ACL 2021 A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences AAAI 2021 Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation EMNLP 2021 Meta-Learning Effective Exploration Strategies for Contextual Bandits AAAI 2021 Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval NAACL 2021 Active Imitation Learning with Noisy Guidance ACL 2020 Language (Technology) is Power: A Critical Survey of “Bias” in NLP ACL 2020 Meta-Learning for Few-Shot NMT Adaptation ACL 2020 On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries EMNLP 2020 Toward Gender-Inclusive Coreference Resolution ACL 2020 Active Learning for Cost-Sensitive Classification JMLR 2019 Answer-based Adversarial Training for Generating Clarification Questions NAACL 2019 Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts EMNLP 2019 Contextual Memory Trees ICML 2019 Controlling the Specificity of Clarification Question Generation ACL 2019 Global Voices: Crossing Borders in Automatic News Summarization EMNLP 2019 Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning EMNLP 2019 Non-Monotonic Sequential Text Generation ICML 2019 Reinforcement Learning with Convex Constraints NeurIPS 2019 Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback ICML 2019 Content Selection in Deep Learning Models of Summarization EMNLP 2018 Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings NAACL 2018 Hierarchical Imitation and Reinforcement Learning ICML 2018 Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information ACL 2018 Residual Loss Prediction: Reinforcement Learning With No Incremental Feedback ICLR 2018 Active Learning for Cost-Sensitive Classification ICML 2017 Logarithmic Time One-Against-Some ICML 2017 Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback EMNLP 2017 The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives CVPR 2017 A Credit Assignment Compiler for Joint Prediction NeurIPS 2016 CLIP@UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search SemEval 2016 Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships NAACL 2016 Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation NAACL 2016 Learning Text Pair Similarity with Context-sensitive Autoencoders ACL 2016 Opponent Modeling in Deep Reinforcement Learning ICML 2016 Deep Unordered Composition Rivals Syntactic Methods for Text Classification ACL 2015 Dialogue focus tracking for zero pronoun resolution NAACL 2015 Hands-on Learning to Search for Structured Prediction NAACL 2015 Learning to Search Better than Your Teacher ICML 2015 Syntax-based Rewriting for Simultaneous Machine Translation EMNLP 2015 Why discourse affects speakers’ choice of referring expressions ACL 2015 A Neural Network for Factoid Question Answering over Paragraphs EMNLP 2014 A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation ACL 2014 Don’t Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation EMNLP 2014 “I Object!” Modeling Latent Pragmatic Effects in Courtroom Dialogues EACL 2014 Learning to Search in Branch and Bound Algorithms NeurIPS 2014 Predicting Instructor’s Intervention in MOOC forums ACL 2014 Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NeurIPS 2013 Dynamic Feature Selection for Dependency Parsing EMNLP 2013 Modeling Syntactic and Semantic Structures in Hierarchical Phrase-based Translation NAACL 2013 Monolingual Marginal Matching for Translation Model Adaptation EMNLP 2013 Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies NAACL 2013 SenseSpotting: Never let your parallel data tie you to an old domain ACL 2013 Besting the Quiz Master: Crowdsourcing Incremental Classification Games EMNLP 2012 Detecting Visual Text NAACL 2012 Fast Large-Scale Approximate Graph Construction for NLP EMNLP 2012 Incorporating Lexical Priors into Topic Models EACL 2012 Low-Dimensional Discriminative Reranking NAACL 2012 Midge: Generating Image Descriptions From Computer Vision Detections EACL 2012 Protocols for Learning Classifiers on Distributed Data AISTATS 2012 Regularized Interlingual Projections: Evaluation on Multilingual Transliteration EMNLP 2012 Sketch Algorithms for Estimating Point Queries in NLP EMNLP 2012 Approximate Scalable Bounded Space Sketch for Large Data NLP EMNLP 2011 Beyond Structured Prediction: Inverse Reinforcement Learning ACL 2011 Corpus-Guided Sentence Generation of Natural Images EMNLP 2011 Domain Adaptation for Machine Translation by Mining Unseen Words ACL 2011 From Bilingual Dictionaries to Interlingual Document Representations ACL 2011 Generative Kernels for Exponential Families AISTATS 2011 Improving Bilingual Projections via Sparse Covariance Matrices EMNLP 2011 Automatically Producing Plot Unit Representations for Narrative Text EMNLP 2010 From Structured Prediction to Inverse Reinforcement Learning ACL 2010 Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010 Markov Random Topic Fields ACL 2009 Non-Parametric Bayesian Areal Linguistics NAACL 2009 Streaming for large scale NLP: Language Modeling NAACL 2009 Cross-Task Knowledge-Constrained Self Training EMNLP 2008 Name Translation in Statistical Machine Translation - Learning When to Transliterate ACL 2008 A Bayesian Model for Discovering Typological Implications ACL 2007 Bayesian Agglomerative Clustering with Coalescents NeurIPS 2007 Frustratingly Easy Domain Adaptation ACL 2007 Bayesian Query-Focused Summarization ACL 2006 Beyond EM: Bayesian Techniques for Human Language Technology Researchers NAACL 2006 A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior JMLR 2005 A Large-Scale Exploration of Effective Global Features for a Joint Entity Detection and Tracking Model EMNLP 2005 A Phrase-Based HMM Approach to Document/Abstract Alignment EMNLP 2004 NP Bracketing by Maximum Entropy Tagging and SVM Reranking EMNLP 2004 Web Search Intent Induction via Automatic Query Reformulation NAACL 2004 A Noisy-Channel Model for Document Compression ACL 2002 Fast search for Dirichlet process mixture models AISTATS 1999