Matthew Lease
Professor
Works on information retrieval and crowdsourcing, including fact-checking with humans in the loop and NLP for search.
Matthew Lease's lab at UT Austin works on knowledge, QA & retrieval and recommendation, search & web. 26 papers since 2023, 6 at top venues, mostly CSCW and FAccT. 5 PhD students. 19 alumni. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 23%
- PhD students
- 5
- MS students
- 0
- alumni listed
- 19
Papers by yearfrom the lab homepage, 2023–2026
- 7 papers2026 · T1 2 · collecting
- 3 papers2025 · T1 1
- 8 papers2024 · T1 2
- 8 papers2023 · T1 1
T1 venuesOtherVenues: CSCW, FAccT, ACL, ECIR, Findings of EMNLP
Research focuspaper titles that use each topic's words
- Knowledge, QA & retrieval1 paper
- Recommendation, search & web1 paper
- information1 paper
- crowdsourcing0 papers
- humans0 papers
Paper list
From the lab homepage.
20267 papers
- Amazon Research Day Workshop on AI Co-scientist: Accelerating scientific discovery through intelligent AI collaborationEffects of Varying Control vs. Automation in Human-in-the-loop Research Ideation
- FAccTFairness-Aware Multi-Group Target Detection in Online Discussion
- FAccTHow Researchers Navigate Accountability, Transparency, and Trust When Using AI Tools in Early-Stage Research: A Think-Aloud Study
- ACL (T1)Improving the Distributional Alignment of LLMs using Supervision
- IPMReducing Confirmation Bias on Controversial Issues through LLM-Generated Multi-Persona Debates
- COLMRELISH: LLM REgression with a Latent Iterative State Head
- NeurIPS (T1)VESTA: Visual Exploration with Statistical Tool Agents
20253 papers
- CSCW (T1)Exploring Multidimensional Checkworthiness: Designing AI-assisted Claim Prioritization for Human Fact-checkers
- Information ResearchFinding Pareto Trade-offs in Fair and Accurate Detection of Toxic Speech
- ICTIRPreaching to the ChoIR: Lessons IR Should Share with AI
20248 papers
- SUIAnnorama: Enabling Immersive At-Desk Annotation Experiences in Virtual Reality with 3D Point Cloud Dioramas
- NAACL (T1)Benchmark Transparency: Measuring the Impact of Data on Evaluation
- CISTDiverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion Related to Harms of Misinformation
- DMLRDMLR: Data-centric Machine Learning Research -- Past, Present and Future
- CSCW (T1)Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI
- Findings of EMNLPPromoting Constructive Deliberation: Reframing for Receptiveness
- IUISnapper: Accelerating Bounding Box Annotation in Object Detection Tasks with Find-and-Snap Tooling
- Proceedings of the BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for Natural Language ProcessingWrapper Boxes: Faithful Attribution of Model Predictions to Training Data
20238 papers
- Journal of Artificial Intelligence ResearchA General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks
- HCOMPCharacterizing Time Spent in Video Object Tracking Annotation Tasks: A Study of Task Complexity in Vehicle Tracking
- HHAIDesigning Closed-Loop Models for Task Allocation
- Frontiers in Artificial IntelligenceEditorial: “Human-Centered AI: Crowd Computing”
- HCOMPHow Crowd Worker Factors Influence Subjective Annotations: A Study of Tagging Misogynistic Hate Speech in Tweets
- ECIRNew Metrics to Encourage Innovation and Diversity in Information Retrieval Approaches
- WWW (T1)Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection
- Information Processing & ManagementThe State of Human-centered NLP Technology for Fact-checking
Where alumni went19 listed
Apply to UT AustinFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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