Hal Daumé III
Professor
Researches natural language processing and machine learning with a focus on learning from interaction and fair, human-centered language technology.
Hal Daumé III's lab at UMD works in Natural Language Processing. 48 papers since 2023, 36 at top venues, mostly EMNLP and ACL. 10 PhD students. 18 alumni, most often to Microsoft and Google.
At a glance
- papers, 2023–2026
- 13/ year
- at T1 venues
- 75%
- PhD students
- 10
- MS students
- 0
- alumni listed
- 18
Papers by yearfrom the lab homepage, 2023–2026
- 6 papers2026 · T1 5 · collecting
- 17 papers2025 · T1 10
- 14 papers2024 · T1 11
- 11 papers2023 · T1 10
T1 venuesOtherVenues: EMNLP, ACL, CHI, ICLR, NAACL
Research focuspaper titles that use each topic's words
- language12 papers
- human-centered2 papers
- fair1 paper
- language technology0 papers
- researches natural0 papers
Paper list
From the lab homepage.
20266 papers
- ACL (T1)Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style (opens in a new tab)
- CHI (T1)Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users (opens in a new tab)
- ACL (T1)SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models (opens in a new tab)
- EACLSteering Safely or Off a Cliff? Rethinking Specificity and Robustness in Inference-Time Interventions (opens in a new tab)
- CHI (T1)Surveilling Suitability: How AI Hiring Interviews Impact Job Seekers with Disabilities (opens in a new tab)
- CHI (T1)When Stereotypes GTG: The Impact of Predictive Text Suggestions on Gender Bias in Human-AI Co-Writing (opens in a new tab)
202517 papers
- EMNLP (T1)'Rich Dad, Poor Lad': How do Large Language Models Contextualize Socioeconomic Factors in College Admission? (opens in a new tab)
- EMNLP (T1)A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations (opens in a new tab)
- EMNLP (T1)An interdisciplinary approach to human-centered machine translation (opens in a new tab)
- ML4H WorkshopBalancing Safety and Helpfulness in Healthcare AI Assistants through Iterative Preference Alignment (opens in a new tab)
- COLMBeyond Blanket Masking: Examining Granularity for Privacy Protection in Images Captured by Blind and Low Vision Users (opens in a new tab)
- ACL (T1)Can Hallucination Correction Improve Video-Language Alignment? (opens in a new tab)
- NeurIPS (T1)Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning (opens in a new tab)
- Peer Review CongressCausal Effect of Group Diversity on Redundancy and Coverage in Peer-Reviewing (opens in a new tab)
- EALMComment mesurer les biais politiques des grands modèles de langue multilingues? (opens in a new tab)
- AAAI/ACM AIESEffort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics (opens in a new tab)
- ASSETSExploring Collaboration to Center the Deaf Community in Sign Language AI (opens in a new tab)
- EMNLP (T1)Investigating Dictionary Expansion for Video-based Sign Language Dictionaries (opens in a new tab)
202414 papers
- EMNLP (T1)"You Gotta be a Doctor, Lin": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations (opens in a new tab)
- PLOS ONEA Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions (opens in a new tab)
- EMNLP (T1)ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles (opens in a new tab)
- EMNLP (T1)Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA (opens in a new tab)
- ICLR (T1)DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization (opens in a new tab)
- EMNLP (T1)HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models (opens in a new tab)
- PLOS ONEHow do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions? (opens in a new tab)
- NAACL (T1)Large Language Models Help Humans Verify Truthfulness -- Except When They Are Convincingly Wrong (opens in a new tab)
- ICML (T1)Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss (opens in a new tab)
- ICML (T1)PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem (opens in a new tab)
- EMNLP (T1)Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections (opens in a new tab)
- IUIThe Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features (opens in a new tab)
202311 papers
- EMNLP (T1)A Rose by Any Other Name would not Smell as Sweet: Social Bias in Name Mistranslations (opens in a new tab)
- NeurIPS (T1)ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition (opens in a new tab)
- ACL (T1)Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation (opens in a new tab)
- ACL (T1)Factual or Contextual? Disentangling Error Types in Entity Description Generation (opens in a new tab)
- ACL (T1)FairPrism: Evaluating Fairness-Related Harms in Text Generation (opens in a new tab)
- Findings of EMNLPHallucination Detection for Grounded Instruction Generation (opens in a new tab)
- ACL (T1)It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance (opens in a new tab)
- NeurIPS (T1)TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning (opens in a new tab)
- EMNLP (T1)Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators (opens in a new tab)
- EMNLP (T1)What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems (opens in a new tab)
- ACL (T1)Which Examples Should be Multiply Annotated? Active Learning When Annotators May Disagree (opens in a new tab)
Where alumni went18 listed, 54% to industry
Industry 7Academia 6
Most often to
- Microsoft
- IBM
Also to
- NYU
- Asst Prof at Amherst College
- Cornell University
Apply to UMDFall 2027
Not announced yet
UMD Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
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Not yet confirmed for this intake.
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