Demographics

Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

Period ending 2026-09-21

7 new papers

A weekly snapshot of new work published in Demographics.

Period ending 2026-09-14

7 new papers

A weekly snapshot of new work published in Demographics.

Period ending 2026-09-07

8 new papers

A weekly snapshot of new work published in Demographics.

Inside this field

Focused directions

243 papers

Latest in Demographics

Browse all topics →
CardsList

  1. 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

  2. When Post-Processing Fairness Constraints Help and When They Harm: Evidence from Eight Cross-Domain Evaluations

    Sep 22, 2026Nithin Raghava Ramachandra NarlaFairness AuditsPost-Hoc

  3. FairMean: Promoting Fairness in Distributed Learning under Label Poisoning Attacks

    Sep 22, 2026Huigan Zheng, Jiaojiao Zhang, Yongxiang LiuFairness-Aware Learning

  4. Multi-View Fair Clustering Guided by Cross-View Sensitive Information Discrepancy

    Sep 22, 2026Mudi Jiang, Jiahui Zhou, Xinying Liu +2Fairness-Aware Learning

  5. Adaptive Determinantal Client Scheduling in Federated Learning

    Sep 20, 2026Wen Xu, Ben Liang, Gary Boudreau +1Optimal SchedulingDistributional Learning

  6. Perplexity Predicts Protection: Choosing Pretrained Backbones for Worst-Client Fairness in Federated Parameter-Efficient Fine-Tuning

    Sep 20, 2026Kiran Naseer, Samreen Azhar, Umar Shoaib +2Fairness-Aware LearningPrivacy-Preserving Framework

  7. FedFIbOS: Fisher Importance based Optimal Submodelling for Heterogeneous Federated Learning

    Sep 17, 2026Yasmeen Afzal, Jeremiah D. Deng, Haibo ZhangHeterogeneous Federated LearningFederated Learning

  8. 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 +3BiomarkerMild Cognitive Impairment

  9. The AR Fairness Metamodel: A Structured Framework for Fairness Measures

    Sep 16, 2026Julian Alfredo Mendez, Timotheus KampikFairness Constraints

  10. 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 BiasDemographics

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

    Sep 14, 2026Mansur Bultygov, Vadim Seliutin, Dmitry Nekhaev +1Facial RecognitionFace Embeddings

  12. Fed-Equilibrium Framework for Topological Pareto Control in Robust and Fair Clinical Federated Learning

    Sep 14, 2026Ting Xu, Henry LeungFederated LearningFairness-Aware Learning

  13. One Example Is Enough to Pass Fairness Benchmarks: Rethinking Fairness Evaluation for Aligned LLMs

    Sep 14, 2026Naihao Deng, Samee Arif, Shuaichen Chang +2Fairness ConstraintsLarge Language Model Alignment

  14. Evaluating Model Retraining under Drift: Paired Comparisons of Cumulative Subgroup Disparity

    Sep 9, 2026Aaron CerossSubgroup InformationRetraining

  15. Efficient Fairness Auditing Across Guidance Scales in Text-to-Image Diffusion Models via Causal Abstraction

    Sep 8, 2026Nabila Tasfiha Rahman, Rajatsubhra Chakraborty, Depeng Xu +1Fairness AuditsText-To-Image Diffusion Models

  16. 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

  17. A Sub-4 Approximation for Fair kk-Means

    Sep 7, 2026Kangke Cheng, Guanlin Mo, Shihong Song +1K-MeansApproximation Algorithms

  18. FedRAW: Preserving Rare-Label Influence in Asynchronous Federated Learning

    Sep 7, 2026Prashant Bajpai, Divya Saxena, Philippe Lalanda +1Federated LearningCandidate Label Distributions

  19. Counterfactual Fairness Audits of Multi-Step Clinical LLM Agents Require a Measured Per-Action Instability Floor

    Sep 2, 2026Rohith Reddy Bellibaltu, Manpreet Singh, Deepak Parashar +1Fairness AuditsCounterfactual Reasoning

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

    Sep 1, 2026Vahid Reza Khazaie, Ahmed Y. Radwan, Shaina RazaLarge Vision Language ModelsLarge Language Model Bias

  21. Causal Evidentiary Governance for High-Risk Machine Learning Systems

    Sep 1, 2026Samah Kareem, Barış ÇeliktaşCausal ReasoningFairness Audits

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

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

  23. VFR-Audit: Verdict-Level Reliability for Fairness Audits in Hospital Length-of-Stay Prediction

    Aug 31, 2026Md Jannatul Rakib Joy, Viet Vo, Caslon ChuaFairness AuditsAlgorithm Auditing

  24. Fairness in multi-class multi-group classification problems via contextial coherent risk measures

    Aug 31, 2026Darinka Dentcheva, Xiangyu TianFairness-Aware LearningMulticlass Classification

  25. Simultaneous Envy and Equitability Guarantees

    Aug 26, 2026Hadi Hosseini, Shraddha Pathak, Lirong Xia +1Fairness Constraints

  26. A Joint-Distribution Route to Fair Representations with Continuous Sensitive Attributes

    Aug 11, 2026Yijin Ni, Xiaoming HuoFairness-Aware LearningDisparities

  27. Fairness in Link Prediction Beyond Demographic Parity: A Reproducibility Study

    Aug 10, 2026Valentijn Oldenburg, Floris de Kam, Stef de Wildt +1DisparitiesZero-Shot Link Prediction

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

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

  29. Fair on the Surface? Benchmarking Hidden-Output Fairness Gaps in LLM Recommenders

    Aug 8, 2026Chan Aristella Lu, Arya Fayyazi, Junhao Zhang +6Large Language Model BiasFairness Audits

  30. Beyond Aggregate Calibration: Decomposing Income-Conditional Recall Disparities in Automated Credit Default Prediction

    Aug 8, 2026Sai Srikar BoddupalliCredit Risk PredictionDisparities

  31. 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

  32. Natural Language Processing Psychometrics

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

  33. 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

  34. Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning

    Aug 6, 2026Devharsh Trivedi, Nesrine Kaaniche, Nikos Triandopoulos +2Fairness-Aware LearningByzantine Attacks

  35. Manipulation-Proof Oblivious Audits against Deceptive Model Providers

    Aug 5, 2026Augustin Godinot, Sofiane Azogagh, Julien Ferry +1Fairness AuditsAlgorithm Auditing

  36. GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits

    Aug 3, 2026Nitish Nagesh, Elahe Khatibi, Thomas Dean Hughes +3Fairness AuditsPost-Hoc

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

    Aug 3, 2026Zeshen Zheng, Yujia He, Qianmian Lin +2DemographicsAlgorithm Auditing

  38. FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection

    Aug 3, 2026Yaning Zhang, Jiao Wu, Zan Gao +1Explainable Deepfake DetectionFace Forgery Detection

  39. ZK-SR117: A Chunked Zero-Knowledge Attestation Design for Aggregated Fair-Lending Metrics, with a Control Mapping toward Full SR 11-7 Coverage

    Aug 1, 2026Mohammad Nasir Uddin, Rahnuma Tabassum Orpita, Eklachur Rahman Bhuiyan +1Fairness AuditsCanonical Action Verification And Attestation

  40. Fairness Auditing: Lower Bounds on Company Manipulation

    Aug 1, 2026Rachit Verma, Padala Manisha, Sujit GujarFairness AuditsAlgorithm Auditing

  41. Normal-Anchored First-Order Model-Agnostic Meta-Learning based Whisper Fine-Tuning for Enhancing Fairness of Cleft Lip and Palate Speech Recognition

    Jul 31, 2026Susmita Bhattacharjee, Jagabandhu Mishra, H. S. Shekhawat +2Speech Large Language ModelsDysarthric Speech

  42. End-to-End Fairness Optimization with Fair Decision-Focused Learning

    Jul 31, 2026Yu Wang, Violet Xinying ChenFairness Constraints

  43. FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents

    Jul 31, 2026Nitish Nagesh, Mahdi Bagheri, Amir M. RahmaniFairness-Aware LearningDistributional Fidelity

  44. FairFund-Bench: Evaluating Distributive Bias in LLM Resource Allocation

    Jul 31, 2026Martin LukkLarge Language Model BiasFairness Audits

  45. KAISEN: Reproducible Subgroup Fairness Auditing for Clinical Risk Models

    Jul 30, 2026Sparsh Roy, Samuel Girmachew, Nishita ChavanFairness AuditsSubgroup Information

  46. Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach

    Jul 29, 2026Cengis HasanFederated LearningCoalition Formation

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

    Jul 28, 2026Zihan Chen, Di Zhu, Lei Nico ZhengUser SimulationSurvey

  48. Unequal Trips, Unequal Places: Diagnosing and Mitigating Delay Inequity in Autonomous Vehicle Fleet Coordination

    Jul 27, 2026Nicole Hu, Mingtao Zhang, Haoyang LI +2Autonomous DrivingDynamic Replanning

  49. GeoStereo: A Unified Stereo Geometry Estimation Framework for Disparity and Surface Normal

    Jul 27, 2026Qizhe Wei, Xianda Guo, Shaocong Xu +3Stereo MatchingFeed-Forward Visual Geometry Estimation

  50. Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling

    Jul 26, 2026Shakti Sharma, Rahul MeshramOptimal SchedulingLinear Bandits

  51. Directional Influence Function: Estimating Training Data Influence in Constrained Learning

    Jul 25, 2026Xin Wang, R. Tyrrell Rockafellar, Xuegang +1Efficient Influence FunctionInfluence

  52. Online Fair Division with Budget Constraints

    Jul 25, 2026Saar Cohen, Nicholas Teh, Paul W. Goldberg +1Knapsack ConstraintFairness Constraints

  53. Discrepancy-Rounded Fair Bandits with Static and Time-Varying Exposure Floors

    Jul 24, 2026Ibne Farabi Shihab, Joyanta Jyoti Mondal, Anuj SharmaBanditsFairness Constraints

  54. Unlearning Under Imbalance: Benchmarking Fairness in Multimodal LLM Unlearning

    Jul 23, 2026Lorenzo Orsingher, Thomas De Min, Massimiliano Mancini +2Large Language Model UnlearningLarge Language Model Bias

  55. Sympathetic Framing: Evaluating AI Alignment across Sociodemographic Groups

    Jul 22, 2026Haran Shani-Narkiss, Michael Fire, Oren TsurLarge Language Model BiasArtificial Intelligence Alignment

  56. COVAriance-Induced Fairness Gap Penalty for Subgroup-Fair Clustering

    Jul 20, 2026Kyungseon Lee, Hankyo Jeong, Kunwoong Kim +2Subgroup InformationFairness-Aware Learning

  57. 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

  58. Privacy Cost as Equity Input: A Group Fairness Criterion for Differentially Private Machine Learning

    Jul 18, 2026Rakshit NaiduDifferential PrivacyFairness Audits

  59. Demographically-Conditioned Synthetic Medical Images for Bias Mitigation and Bias Detection in Disease Classifiers

    Jul 16, 2026Mahmoud Ibrahim, Bart Elen, Chang Sun +2Medical Image GenerationMedical Image Classification

  60. Frequency-Structured Field Learning for Light-Field Disparity Estimation

    Jul 16, 2026Sara Monji-Azad, Yulin Liu, Jürgen HesserEpipolar StructuresWireless Radiance Field