Demographics

Ask about this topic

Momentum

12 papers in the last four weeks, up 300% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 59

All topics
CardsList

  1. Probabilistic Race and Ethnicity Prediction Using Group-Specific Name Lists

    Oct 5, 2026Kyla Chasalow, Noah Dasanaike, Kosuke ImaiDemographics

    PhD Candidate, Department of Statistics, Harvard University. · PhD Candidate, Department of Government, Harvard University. · Edith and Benjamin Geisinger Professor, Department of Government and Department of Statistics, Harvard University. 1737 Cambridge Street, Institute for Quantitative Social Science, Cambridge MA 02138.

  2. PhysDEM: Physics-Defined Energy-Matching Diffusion for Spatiotemporal Field Generation under Scarce Measurements

    Oct 1, 2026Zhenyu Liang, Yining Huang, Yubo Zhao +1Spatiotemporal FieldsDiffusion Dynamics

    HKUST · UT Austin

  3. Beyond Demographic Balance: Multi-Metric and Intersectional Evaluation of Fairness in MIMIC-IV Mortality Prediction

    Oct 1, 2026Abdullah Al Noman, Fahmid Al Rifat, Tahrima Hashem +3Intensive Care Unit Mortality PredictionDisparities

    Virginia Tech Blacksburg, Virginia, USA · University of Texas at Arlington Arlington, Texas, USA · University of Melbourne Melbourne, Victoria, Australia +3

  4. Demographic Pluralism: Inference-Time Modeling of Pluralistic Human Preference Distributions

    Sep 29, 2026Meng-Chen Wu, Qipin Chen, Ansh Jain +3Internal PluralismDemographics

    Amazon Science

  5. MetaPersona: Task-Grounded Synthetic Populations from Empirical Social Science

    Sep 29, 2026Jinyi Ye, Yuangang Li, Chenxiao Yu +7Synthetic DataDemographics

    University of Southern California · University of California, Irvine · 2077AI +1

  6. A Comprehensive View of Fairness through Distributional Stability

    Sep 29, 2026Gayane Taturyan, Charlotte Laclau, Stephan ClémenconAlgorithmic FairnessBalanced Learning

    LTCI, Télécom Paris, Institut Polytechnique de Paris, Palaiseau, France

  7. Population Fidelity: Evaluating Population Representativeness in LLMs

    Sep 28, 2026Neemias B. da Silva, Martin Lukk, Ali Sutani +5Large Language Model BiasDemographics

    University of Toronto, Canada · Federal University of Technology – Paran´a, Brazil

  8. The Illinois Social Attitudes Aggregate Corpus (ISAAC): An Open Tool and Reproducible Pipeline for Analyzing Social Group Discourse at Scale

    Sep 22, 2026Babak Hemmatian, Sarah Hadjarab, Jessica Chen +1Text CorporaDemographics

    AI Innovation Institute, Stony Brook University · Department of Political Science, University of Chicago · Department of Psychology, University of Illinois Urbana–Champaign +1

  9. Machine Learning-Based Prediction of Childhood Stunting in Bangladesh: Fairness and Temporal Robustness Assessment

    Sep 21, 2026Md Ahshanul Haque, Muhammad Ashad KabirReadmission PredictionDemographics

    School of Computing, Mathematics and Engineering, Charles Sturt University, NSW, Australia

  10. Machine-Learning Assessment of the Predictive Value of Inflammatory Biomarkers for Cognitive Impairment in an Older Hispanic Adult Cohort

    Sep 16, 2026Antony Garcia, Gabrielle Britton, Alcibiades Villarreal +3BiomarkerClinical Prediction

    Worcester Polytechnic Institute, Worcester, MA, USA · Facultad de Ingenier´ıa El´ectrica, Universidad Tecnol´ogica de Panam´a, Panam´a, Panam´a · Centro de Vacunaci´on e Investigaci´on (CEVAXIN), Panam´a, Panam´a +3

  11. The Role of Implicit and Explicit Demographic Signals in Large Language Model-based Student Assessment

    Sep 15, 2026Donya Rooein, Luca Benedetto, Dirk HovyLarge Language Model BiasComputerized Adaptive Testing

    Bocconi University, Milan, Italy · Télécom SudParis, Institut Polytechnique de Paris, Palaiseau, France

  12. DenseFace: Bias Mitigation in Face Recognition via Density-Aware Probabilistic Matching

    Sep 14, 2026Mansur Bultygov, Vadim Seliutin, Dmitry Nekhaev +1Face Recognition ModelDemographics

    VisionLabs · Amazon Web Services · Mohamed bin Zayed University of Artificial Intelligence

  13. LEBGen: An LLM-Enhanced Bayesian Network Framework for Few-Shot Travel Survey Data Generation

    Sep 8, 2026Zijian Shen, Bin Zhou, Jiguang Wang +2Synthetic DataBayesian Networks

    Department of Civil Engineering, The University of Hong Kong · Department of Urban Planning and Design, The University of Hong Kong

  14. FairLens: Benchmarking Fairness in Vision-Language Models for High-Stakes Decision-Making

    Sep 1, 2026Vahid Reza Khazaie, Ahmed Y. Radwan, Shaina RazaRecent Vision-Language ModelsAlgorithmic Fairness

    Vector Institute, Toronto, Canada

  15. LLM-as-a-Demographic: Whom Sociodemographic Prompting Helps, and Whom It Hurts

    Aug 31, 2026Daniela Occhipinti, Andrea Piergentili, Marco GueriniDemographicsLarge Language Model Bias

    Fondazione Bruno Kessler, Via Sommarive 18, Povo, Trento, Italy · Almawave Labs, Via Di Casal Boccone, 188/190, Rome

  16. CIFA: Contextual-Intersectional Fairness Auditing for Hidden Subgroup Discovery in Face Analysis

    Aug 10, 2026Nazia Aslam, Khalid Adnan Alsayed, Thomas B. Moeslund +1Fairness AuditsFace Recognition Model

    Aalborg University, Denmark · Pioneer Centre for AI, Denmark · Ducaltus Ltd., Newcastle upon Tyne, United Kingdom +1

  17. People Are Not Just Their Countries. Disentangling Social Determinants of LLM Value Alignment Across Europe

    Aug 7, 2026Maria-Louisa Wightman, Guillaume Bied, Tijl De BieHuman ValuesLarge Language Model Alignment

    Electronics and Information Systems (ELIS), Ghent University

  18. Natural Language Processing Psychometrics

    Aug 7, 2026Edoardo Sebastiano De Duro, Emma Franchino, Massimo StellaPsychometric PropertiesMental Health

    CogNoscoLab, Department of Psychology and Cognitive Science, University of Trento, Italy

  19. Does Splitting a Triage Decision Across Agents Hide Bias or Help Catch It? A Multi-Agent Simulation Study of LLM-Based Resource Allocation Under Audit Capacity Constraints

    Aug 7, 2026Paul-Peter ArslanLarge Language Model BiasTriage

    Institute for Future Technologies

  20. Who Should Be Generated? Justifying Demographic Targets in Open-Ended Generation

    Aug 3, 2026Zeshen Zheng, Yujia He, Qianmian Lin +2Algorithmic FairnessDemographics

    Sun Yat-sen University, China

  21. When Synthetic Users Fail: A Cross-Domain Benchmark of LLM-Simulated Human Survey Responses

    Jul 28, 2026Zihan Chen, Di Zhu, Lei Nico ZhengSurveyDemographics

    Stevens Institute of Technology Hoboken, NJ, USA · University of Massachusetts Boston Boston, MA, USA

  22. Sympathetic Framing: Evaluating AI Alignment across Sociodemographic Groups

    Jul 22, 2026Haran Shani-Narkiss, Michael Fire, Oren TsurLarge Language Model BiasTask Framing

    University College London, London, England. · Ben-Gurion University of the Negev, Be’er Sheba, Israel.

  23. Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis

    Jul 19, 2026Maede Azani Hassan Abadi, Shouyi WangAir PollutionRespiratory Sound Classification

    Department of Industrial, Manufacturing, & Systems Engineering, The University of Texas at Arlington

  24. Grad2Fair: A Gradient-driven Approach for Graph Fairness without Demographics

    Jul 16, 2026Yuchang Zhu, Zezhong Xie, Huizhe Zhang +4Algorithmic FairnessFederated Graph Learning

    School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou 510007, China · Institute of Artificial Intelligence, Xiamen University, Xiamen 361005, China · School of Software Engineering, Sun Yat-sen University, Zhuhai 519082, China

  25. AU-Guided Synthetic Video Generation for Micro-Expression Recognition

    Jul 12, 2026Pei-Sze Tan, Sailaja Rajanala, Yee-Fan Tan +2Video DatasetVideo Generation

    CyPhi AI Lab, Monash University Malaysia

  26. Demographic Prompting at Scale: When More Attributes Hurt LLM--Human Agreement

    Jul 12, 2026Mahammed Kamruzzaman, Shrabon Kumar Das, Gene Louis KimLarge Language Model AnnotationsDemographics

    Bellini College of AI, Cybersecurity and Computing · University of South Florida

  27. DETECT-3B-Omni is Agnostic of Content and Demographics

    Jul 3, 2026Nicolas M. Müller, Aditya Tirumala Bukkapatnam, Dominik Schnieders +1SpeakerCross-Lingual Voice Cloning

    Resemble AI, Mountain View, CA, USA · Deutsche Telekom, Bonn, Germany

  28. Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets

    Jun 22, 2026Iris Dominguez-Catena, Daniel Paternain, Mikel GalarDemographicsLarge-Scale Image Datasets

    Institute of Smart Cities (ISC), Department of Statistics, Computer Science and Mathematics · Public University of Navarre · Arrosadia Campus +1

  29. Demographic Metadata as Construct-Irrelevant Noise in DistilBERT-Based Automated Essay Scoring

    Jun 19, 2026Teik Peng Ch'ng, Hui Na ChuaAutomated Essay ScoringDemographics

    Sunway University School of Computing and Artificial Intelligence, Faculty of Engineering and Technology, Sunway University, Malaysia

  30. A Computational Audit of Demographic Association Encoding in ClinicalBERT Language Predictions

    Jun 12, 2026Kehinde Temitayo SoetanLarge Language Model BiasDemographics

    Department of Medical Humanities and Social Sciences The Ohio State University

  31. Beyond Third-Person Audits: Situated Interaction Auditing for User-Centered LLM Bias Research

    Jun 10, 2026Andrés Abeliuk, Cinthia Sanchez Macias, Valentina Alarcón +2Large Language Model BiasLinguistics

    Department of Computer Science University of Chile Center for Artificial Intelligence (CENIA) Santiago, Chile · Center for Artificial Intelligence (CENIA) Santiago, Chile · Institute of Sociology Pontificia Universidad Católica de Chile Santiago, Chile

  32. Ethical and Technical Limits of Deepfake Speech Datasets

    Jun 9, 2026Vojtěch Staněk, Eva Trnovská, Kamil Malinka +1Fairness AuditsAlgorithmic Fairness

  33. Learning Perspectivist Social Meaning via Demographic-Conditioned Fusion Embeddings

    Jun 5, 2026Amanda Cercas Curry, Lucio La Cava, Luca Maria Aiello +1DemographicsSocial Media Posts

    Independent Researcher · University of Calabria · IT University of Copenhagen +1

  34. From Self to Other: Evaluating Demographic Perspective-Taking in LLM Hate Speech Annotation

    Jun 4, 2026Paloma Piot, Javier ParaparHate Speech DetectionLarge Language Model Annotations

    Information Retrieval Lab CITIC Research Centre Universidade da Coruña

  35. Learning to model pediatric asthma exacerbation from multiple risk factors: a case study in coastal Virginia

    Jun 4, 2026Jonathan Colen, Eric Werner, Maryam Golbazi +6Air PollutionGeneralized Linear Model

    Joint Institute on Advanced Computing for Energy and Science, Old Dominion University, Suffolk, VA, 23535, U.S.A. · School of Data Science, Old Dominion University, Norfolk, VA, 23529, U.S.A. · Eastern Virginia Medical School, Macon & Joan Brock Virginia Health Sciences, Old Dominion University, Norfolk, VA, 23501, U.S.A. +5

  36. Toward Calibrated, Fair, and accurate Deepfake Detection

    Jun 3, 2026Ryan Brown, Chris RussellDeepfake DetectionUnsupervised Detection

    University of Oxford

  37. Adaptive Calibration for Fair and Performant Facial Recognition

    Jun 3, 2026Ryan Brown, Chris RussellFace Recognition ModelAlgorithmic Fairness

    University of Oxford

  38. The Impact of Temporal Granularity on Socio-Demographic Inference from Household Load Profiles

    Jun 2, 2026Dejan Radovanovic, Maximilian Schirl, Andreas Unterweger +1DemographicsFeature Importance

    Center for Secure Energy Informatics, Salzburg University of Applied Sciences, Puch bei Hallein, Austria · Paris Lodron University of Salzburg, Salzburg, Austria

  39. Topics as Proxies for Sociodemographics: How Conversational Context Affects LLM Answers

    Jun 1, 2026Vera Neplenbroek, Gabriele Sarti, Arianna Bisazza +1DemographicsConversational Context

    Institute for Logic, Language and Computation, University of Amsterdam · Khoury College of Computer Sciences, Northeastern University · Center for Language and Cognition, University of Groningen

  40. Fair Finetuning Mitigates Distribution Inference Attacks

    Jun 1, 2026Rakshit NaiduFairness AuditsMembership Inference Attacks

    Georgia Institute of Technology

  41. KG-FairDiff: Knowledge Graph-Guided Prompt Refinement for Demographically Fair Text-to-Image Generation

    May 31, 2026Farbod Davoodi, Seyed Reza Tavakoli Shiyadeh, Pooria Safaei +12Text GenerationAlgorithmic Fairness

    Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar

  42. Fairness Beyond Demographics: Optimizing Performance Across Appearance-Based Hidden Cohorts in Medical Imaging

    May 28, 2026Milad Masroor, Cuong Nguyen, Kevin Wells +1Algorithmic FairnessMedical Imaging

    Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK

  43. When Does Demographic Information Help? Data and Modeling Regimes for Perspective-Aware Hate Speech Detection

    May 26, 2026Weibin Cai, Reza ZafaraniHate Speech DetectionDemographics

    Data Lab, EECS Department Syracuse University

  44. Worst-Group Equalized Odds Regularization for Multi-Attribute Fair Medical Image Classification

    May 19, 2026Nikhil Cherian Kurian, Victor Caquilpan Parra, Abin Shoby +6Medical Image ClassificationImbalanced Classification

    Australian Institute for Machine Learning, Adelaide University, Adelaide, Australia · GlaxoSmithKline (GSK)

  45. Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication

    May 15, 2026Joonhyung BaeDemographicsPersona Consistency

    Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea

  46. DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value Mapping

    May 14, 2026Pengyun Zhu, Yuqi Ren, Zhen Wang +2Pluralistic AlignmentLarge Language Model Alignment

    TJUNLP Lab, School of Computer Science and Technology, Tianjin University, China

  47. Explanation Fairness in Large Language Models: An Empirical Analysis of Disparities in How LLMs Justify Decisions Across Demographic Groups

    May 9, 2026Gautam VeldandaLarge Language Model BiasAlgorithmic Fairness

    Independent Researcher

  48. Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behavior

    Apr 30, 2026Ali Aghazadeh Ardebili, Massimo StellaLarge Language Model BiasArtificial Intelligence Personas

    CogNosco Lab, University of Trento, Department of Psychology and Cognitive Science, Trento, Italy

  49. From Demographics to Survey Anchors: Evaluating LLM Agents for Modeling Retirement Attitudes

    Apr 24, 2026Rubén Garzón, Pauline Baron, Vincent Grari +3SurveyDemographics

    AI Research, AXA Group Operations, Madrid, Spain. · AI Research, AXA Group Operations, Paris, France. · AI Research, AXA Group Operations, Lausanne, Switzerland. +2

  50. Dialect vs Demographics: Quantifying LLM Bias from Implicit Linguistic Signals vs. Explicit User Profiles

    Apr 22, 2026Irti Haq, Belén SaldíasLarge Language Model BiasLarge Language Model Safety

    University of Washington, USA

  51. Who Defines Fairness? Target-Based Prompting for Demographic Representation in Generative Models

    Apr 22, 2026Marzia Binta Nizam, James DavisAlgorithmic FairnessDemographics

    University of California, Santa Cruz, USA

  52. Modeling Human Perspectives with Socio-Demographic Representations

    Apr 20, 2026Leixin Zhang, Cagri ColtekinHuman AnnotatorsDemographics

    University of Tübingen

  53. Polarization by Default: Auditing Recommendation Bias in LLM-Based Content Curation

    Apr 17, 2026Nicolò Pagan, Christopher Barrie, Chris Andrew Bail +1Large Language Model BiasHuman-Written Text

    University of Zurich, Department of Informatics, Zurich, CH · New York University, Department of Sociology, New York, USA · University of Oxford, Department of Sociology, Oxford, UK +2

  54. Nationwide EHR-Based Chronic Rhinosinusitis Prediction Using Demographic-Stratified Models

    Apr 16, 2026Sicong Chang, Yidan Shen, Justina Varghese +7Demographics

    Electrical and Computer Engineering University of Houston Houston, USA · Otolaryngology Houston Methodist Hospital Houston, USA · Information Science Technology, University of Houston & Otolaryngology, Houston Methodist Hospital Houston, USA

  55. Multi-Perspective LLM Annotations for Valid Analyses in Subjective Tasks

    Mar 22, 2026Navya Mehrotra, Adam Visokay, Kristina GligorićLarge Language Model AnnotationsHuman Annotations

    University of Washington

  56. Understanding Sources of Demographic Predictability in Brain MRI via Disentangling Anatomy and Contrast

    Mar 4, 2026Mehmet Yigit Avci, Akshit Achara, Andrew King +1Functional Magnetic Resonance ImagingAnatomy

    and for the Alzheimer's Disease Neuroimaging Initiative · School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK

  57. Large Language Models Develop Novel Social Biases Through Adaptive Exploration

    Nov 8, 2025Addison J. Wu, Ryan Liu, Xuechunzi Bai +1Large Language Model BiasDemographics

    1Princeton University · University

  58. MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Gradient Modulation

    Sep 30, 2025Md Zubair, Hao Zheng, Grayson W. Armstrong +4Multimodal LearningAlgorithmic Fairness

    School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA, USA · Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA · Louisiana Center for Health Innovation and College of Nursing & Health Sciences, University of Louisiana at Lafayette, Lafayette, LA, USA +2

  59. Which Demographics do LLMs Default to During Annotation?

    Oct 11, 2024Johannes Schäfer, Aidan Combs, Christopher Bagdon +9Large Language Model AnnotationsLarge Language Model Bias

    Fundamentals of Natural Language Processing, University of Bamberg, Germany