Heterogeneity

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23 papers in the last four weeks, up 283% on the four weeks before. 0.2% of all new papers.

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  1. Reputation, Strategy, and Emotion Effects on Generative AI Cooperation: A Comparison Across Reasoning and Non-Reasoning Models

    Oct 1, 2026Celso de Melo, Zishan Feng, James Hale +3CooperationHuman-Ai Collaboration

    DEVCOM Army Research Laboratory, USA · Department of Electrical, Electronic and Computer Engineering, Gifu University, Japan · Department of Computer Science, University of Southern California, USA +1

  2. From Task Mixtures to Specialized Experts

    Sep 30, 2026Hojat Allah Salehi, Mehrdad Mahdavi, Andrew Arash Mahyari +1Federated LearningHeterogeneity

    Florida International University, Miami, FL, USA · Security, Optimization, and Learning for InterDependent networks laboratory (solid lab), Miami, FL, USA · The Pennsylvania State University, University Park, PA, USA +1

  3. SimplexUQ: An Evaluation Framework and Benchmark for Conformal Uncertainty on Simplex-Valued Predictions

    Sep 30, 2026Liang You, Hengyu Shi, Dongwen OuOnline Conformal PredictionSimplex

    University of Pittsburgh · Duke University

  4. Which Models Work Well Together? Measuring Heterogeneity for LLM Team Selection

    Sep 29, 2026Liangyu Teng, Hengsong Liu, Juncen Guo +4Heterogeneous Modeling ToolsDiversity

    Fudan Institute on Networking Systems of AI

  5. Compiling Learning Problems into Adaptation Programs for Language Models

    Sep 29, 2026Rebecca Ramnauth, Brian ScassellatiLarge Language Model AdaptationRapid Adaptation

    Department of Computer Science Yale University New Haven, CT 06511, USA

  6. Probabilistic Geodesic Flow Matching on Location-Scale Families

    Sep 28, 2026Zeyuan Yu, Zhi Chang, Shiwei LanRiemannian Flow MatchingDiscriminative Congruence Transform

    School of Mathematical & Statistical Sciences Arizona State University Tempe, AZ 85287 USA

  7. CAST: Reconstruction-Coupled Acceleration of Interactive World Models

    Sep 28, 2026Leyang Chen, Junyi Wu, Fanqing Kong +2Video World ModelsWorld Models

    Shanghai Jiao Tong University

  8. Forecast-Necessary Causal Discovery for Nonlinear Political Panel Data: Feedback, Functional Form, and the Dynamics of Democratization

    Sep 28, 2026Michael Coppedge, Dmitry Zaytsev, Valentina KuskovaDemocracyCausal Discovery Methods

    Department of Political Science, University of Notre Dame, Notre Dame, IN, USA · Kellogg Institute, University of Notre Dame, Notre Dame, IN, USA · Lucy Family Institute for Data & Society, University of Notre Dame, Notre Dame, IN, USA

  9. Beyond Fixed Features: Architecture-Dependent Sensitivity to Node Representations under Heterophily

    Sep 27, 2026Priyanath Maji, Sidharth Gaur, Rajavinoth Paul DuraiGraph Neural NetworksHeterogeneity

    Georgia Institute of Technology

  10. Temperament Engineering: Designing Strategic Behavioural Diversity in Robot Swarms

    Sep 24, 2026Edmund R. HuntSwarmsBio-Inspired Framework

    School of Engineering Mathematics & Technology, University of Bristol, Ada Lovelace Building, Tankard’s Cl, Bristol, BS8 1TW, United Kingdom.

  11. Learning Collective Dynamics with Differentiable Gaussian Representations

    Sep 23, 2026Jianxiang Ma, Mingfu Zhang, Xiaocui Yang +3Learning DynamicsCollective Behaviors

    School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China · OranAI, Shenzhen 518057, China · OranAI Ltd., City of Industry, CA 91748, USA

  12. Learning Local Heterogeneity and Cross-Region Context for Large-Scale Traffic Forecasting

    Sep 23, 2026Qi Feng, Zidong Wang, Bo Li +4Accurate Traffic ForecastingSpatio-Temporal Network

    School of Electronic and Information, Northwestern Polytechnical University, Xi’an 710129, China · Department of Computer Science, City University of Hong Kong, Hong Kong SAR, and also with Shenzhen Research Institute, City University of Hong Kong, China · School of Electronic Information (School of Artificial Intelligence), Northwest University, Xi’an, China

  13. On the Gradient Heterogeneity Dynamics of Adversarially Robust Federated Regression

    Sep 22, 2026Leonardo F. Toso, James Anderson, Nirupam Gupta +1Federated LearningHeterogeneity

    Columbia University, USA · University of Copenhagen, Denmark · Sorbonne Université and Université Paris Cité, CNRS, LPSM, France

  14. Rethinking How We Evaluate Methodological Progress in Health AI

    Sep 16, 2026Florent Pollet, Matthew McDermottElectronic Health RecordsArtificial Intelligence Evaluation

    Department of Biomedical Informatics, Columbia University

  15. Bridging the Gap Between Homogeneous and Heterogeneous Asynchronous Optimization Is Surprisingly Difficult

    Sep 15, 2026Alexander TyurinHeterogeneityStochastic Gradient Descent

    AXXX, Moscow, Russia · Applied AI Institute, Moscow, Russia

  16. FedLTLib: A Comprehensive Benchmark for Federated Long-Tail Learning

    Sep 14, 2026Changkun Lin, Junxiao WangFederated LearningFedavg

    Guangzhou University, China

  17. Diverse Minds, Divided Networks? Personality Composition, Polarization, and Collective Intelligence in LLM-Based Social Simulations

    Sep 14, 2026Raad Bin TareafPersonalityIdeology

    German University of Digital Science, Potsdam, Germany.

  18. CryptoL: Towards Scale Dominance and Physics Constraints Mitigation in Financial Multivariate Time Series Forecasting

    Sep 12, 2026Yalda Taheri, Mohammad Hassan Heydari, Armon Rasooli +3Multivariate Time Series ForecastingDecentralized Finance

  19. Hierarchical Clustering Can Jointly Satisfy Richness, Consistency, and Scale Invariance

    Sep 11, 2026Daichi Kuroda, Maximilien Dreveton, Matthias Grossglauser +1ClusteringCluster

    School of Computer and Communication Sciences ´Ecole Polytechnique F´ed´erale de Lausanne (EPFL) Lausanne, 1015, Switzerland · LAMA, UMR-CNRS 8050, Universit´e Gustave Eiffel 5 Bd Descartes, 77454 Marne-la-Vall´ee, France

  20. HERALD: High-Fidelity Exemplar Retrieval with Adaptive Landmark Distillation for Heterophily-Aware Graph Condensation

    Sep 11, 2026Sujan Chakraborty, Priyanka Saha, Saptarshi BejText-Attributed GraphHeterogeneity

    School of Data Science, Indian Institute of Science Education and Research Thiruvananthapuram, Thiruvananthapuram, 695551, Kerala, India

  21. Scaling Multi-Agent Systems with Prospect-State Propagation

    Sep 7, 2026Zhimei Chen, Mu Chen, Fakhri KarrayMulti-Agent SimulationsHeterogeneity

    1Independent Researcher · 2Mohamed bin Zayed University of Artificial Intelligence · University of Waterloo

  22. When Semantically Consistent Encoding Meets View-Label Heterogeneity Modeling: A Unified Framework for Incomplete Multi-View Multi-Label Learning

    Sep 7, 2026Chengliang Liu, Bo Li, Bob Zhang +3Multi-Label ClassificationMulti-View

    PAMI Research Group, Department of Artificial Intelligence, University of Macau, Macau · PAMI Research Group, Department of Artificial Intelligence, and Centre for Artificial General Intelligence, Institute of Artificial Intelligence and Brain Sciences, University of Macau, Macau · School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100811, China +2

  23. Inferring Urban Mobility Interactions from Aggregated Dynamics

    Sep 7, 2026Yi Wang, Jing Li, Jinliang Deng +5Accurate Traffic ForecastingUrban Environments

    Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, China · Centre for Frontier AI Research, Institute of High-Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore · Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China. +1

  24. Convergence Theory of Knowledge Distillation in Asynchronous P2P Gossip Learning Network

    Sep 1, 2026Lucas Qingyang Fang, Tiyao Liu, Jinhao Jing +4Knowledge DistillationGossip

    University of California, Santa Cruz, USA · China University of Petroleum, China · The Chinese University of Hong Kong, Shenzhen, China +2

  25. Breaking the Structural Identity: Personalized Federated LoRA Fine-tuning under Rank Heterogeneity

    Sep 1, 2026Lei Wang, Jieming Bian, Letian Zhang +1Federated LearningModel Fine-Tuning

    University of Florida · Gainesville, FL 32611 · Middle Tennessee State University +1

  26. Measure Before You Manage: Evaluating Agent Working Memory in Coding Agents

    Aug 31, 2026Le Chen, Zishen Wan, Baixi Sun +6Working MemoryLong-Term Agent Memory

    Argonne National Laboratory · Columbia University · University of Houston

  27. A Deep Latent Variable Framework for Jointly Modeling Missingness, Measurement Error, and Heterogeneity

    Aug 30, 2026Yasin Khadem Charvadeh, Grace Y. Yi, Mithat Gönen +1Missing DataImputation

    Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada · Department of Statistical and Actuarial Sciences, Department of Computer Science, University of Western Ontario, Ontario, Canada · Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA +1

  28. Towards Large-Scale Heterogeneous Data Organization for Scientific Foundation Models: A Nuclear Fusion Case Study

    Aug 27, 2026Nathaniel Chen, Kouroche Bouchiat, Peter Steiner +3Wireless Foundation ModelsNuclear Fusion

    Mechanical and Aerospace Engineering Princeton University Princeton, NJ 08544, USA · Princeton University Princeton, NJ 08544, USA · Princeton Plasma Physics Laboratory Princeton University Princeton, NJ 08544, USA

  29. MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts

    Aug 10, 2026Peiwen Li, Shiyang Zhang, Yangtian Zhang +3Model-Based Multi-Agent SystemsTask-Level

    Yale University, New Haven, CT, USA

  30. Stable Curves, Unstable Items: Item-Level Scaling Heterogeneity in Video LLMs

    Aug 7, 2026Wenzhang Sun, Chunfeng Wang, Xiangchen Yin +3Long-Video BenchmarksCurves

  31. FedVAR: Prototype-Aligned Federated Framework for Video Anomaly Recognition

    Aug 7, 2026Ghani Haider, Majid Kundroo, Boyun Eom +3Training-Free Video Anomaly DetectionFederated Learning

    School of Information and Communication Engineering, Chungbuk National University, Cheongju, 28644, Republic of Korea · Electronics and Telecommunications Research Institute (ETRI), Daejeon, 34129, Republic of Korea · Institute of Artificial Intelligence (IAI), University of Central Florida, Orlando, 32816, USA

  32. Overcoming Attention Drift: Homogeneity-Heterogeneity Guided Feature Aggregation for Low-Light Remote Sensing Image Enhancement

    Aug 6, 2026Yaozi Zhong, Xingxing Yang, Shaohui Mei +1Low-Light Image EnhancementFeature Pyramid

    School of Information and Artificial Intelligence, Yunnan University of Finance and Economics, Kunming, China · Department of Computer Science, Hong Kong Baptist University, Hong Kong, China · School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710129, China

  33. On the Effectiveness of Adaptation Strategies for VLM-Based Federated Learning in Remote Sensing

    Aug 5, 2026Simon Lösche, Barış Büyüktaş, Mathis Adler +3Federated LearningVision-Language Model Adaptation

    BIFOLD - Berlin Institute for the Foundations of Learning and Data, 10587 Berlin, Germany · Technische Universität Berlin, 10623 Berlin, Germany · Orion Lab, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, 15772 Athens, Greece +2

  34. Beyond Average Performance: Dynamic Instance Clustering and Specialized Algorithm Design in LLM-Assisted Evolutionary Search

    Aug 4, 2026Qinglong Hu, Qingfu Zhang, Fei Liu +3Evolutionary SearchClustering

    Department of Computer Science, City University of Hong Kong, Hong Kong, China · Huawei Noah’s Ark Lab, China

  35. Optimal Liability Design for Medical AI

    Aug 4, 2026Rui Mao, Tingliang Huang, Houcai ShenClinical Decision SupportInformation Asymmetry

    School of Management & Engineering, Nanjing University, Nanjing 210093, China · Haslam College of Business, University of Tennessee, Knoxville, TN 37996, USA

  36. Causal Inference with Unstructured Outcomes

    Aug 4, 2026Kevin Christian Wibisono, Yixin WangCausal InferencesCovariates

    Department of Statistics University of Michigan, Ann Arbor

  37. From fragmented data to actionable design: Physics-calibrated learning for plastic upcycling

    Aug 3, 2026Jingyang Bai, Zijia Wang, Xiangyi Long +3WasteImputation

    Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK · Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK · Interdisciplinary Research Center for Refining and Advanced Chemicals, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia +4

  38. CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning

    Aug 3, 2026Zijian Jiang, Chaoli Sun, Handing Wang +1Heterogeneous Federated LearningFederated Learning

    School of Computer Science and Electronic Engineering, University of Surrey, Guildford, Surrey GU2 7XH, U.K. · School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, China · School of Artificial Intelligence, Xidian University, Xi’an 710071, China +1

  39. FactorJEPA: Factorizing Monolithic Futures into Layout-Agent-Interaction Channels for Crowded and Chaotic Global South Urban Worlds

    Aug 2, 2026Kapil Wanaskar, Gaytri Jena, Aman Chadha +3Video Joint Embedding Predictive ArchitectureJoint-Embedding Predictive Architectures

    San Jose State University, USA · UC Berkeley, USA · Apple, USA +3

  40. Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity

    Aug 1, 2026Yinlin Zhu, Di Wu, Yi Zhang +5Federated Graph LearningGraph Foundation Model

    Sun Yat-sen University, Guangzhou, China1 · Shandong University, Weihai, China2 · Beijing Institute of Technology, Beijing, China3

  41. MoPET: Parameter-Efficient Mixture-of-Experts for Unified Medical Image Classification

    Jul 31, 2026Sebastian Doerrich, Daniel Würtinger, Francesco Di Salvo +2Mixture-Of-ExpertsMedical Image Classification

    xAILab Bamberg, University of Bamberg, Bamberg, Germany

  42. Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction

    Jul 31, 2026Sen Zhao, Cheng Liu, Shuyin Xia +4Zero-Shot Link PredictionGraph Representation Learning

    Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Big Data Intelligent Computing, Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education, School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China · Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Big Data Intelligent Computing, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China · Chongqing Ant ConsumerFinance Co,. Ltd, Ant Group, Chongqing, 400065, China

  43. Heterogeneous Ranking in Industrial-Scale Recommender Systems: A Case Study

    Jul 30, 2026Di Bai, Jintao Liu, Zhenwei Tang +3Real-World Content Recommendation ProblemHeterogeneity

    Google LLC Mountain View, CA, USA · Google LLC Toronto, ON, Canada · Google LLC New York, NY, USA +1

  44. THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model

    Jul 29, 2026Yixin Peng, Diego Collarana, Er Jin +1Temporal Graph Neural NetworksMulti-Stream Temporal Fusion

    RWTH Aachen University, Aachen, Germany · Fraunhofer FIT, Sankt Augustin, Germany

  45. FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA

    Jul 29, 2026Donghang Duan, Xu Zheng, Lizong Zhang +2HeterogeneityWeave

    University of Electronic Science and Technology of China · 2Zhejiang University

  46. Mind the Missing Split: Resolving Feature Heterogeneity in Swarm Learning with Random Forests

    Jul 28, 2026Mohammad Tajabadi, Dominik HeiderRandom ForestHeterogeneity

    Institute of Medical Informatics, University of Münster, Münster, Germany

  47. HeAD-CP: Heterophily-Aware Diffused Conformal Prediction Sets for Graph Neural Networks

    Jul 28, 2026Phan Binh Nguyen Lam, Nguyen Thai AnhText-Attributed GraphGraph Neural Networks

    Faculty of Information Technology, University of Science, Vietnam National University, Ho Chi Minh City, Vietnam · Faculty of Information Technology, Van Lang School of Technology, Van Lang University, Ho Chi Minh City, Vietnam

  48. Everyone is unique: Towards Behaviorally Heterogeneous Negotiation Dialogue Systems for Debt Collection

    Jul 28, 2026Yuhang Yang, Kai Tang, Chao Ye +4NegotiationDialogue Benchmarks

    1State Key Laboratory of Blockchain and Data Security, Zhejiang University · 2Ant Group

  49. Unsupervised Graph Representation Learning with Complementary View Alignment

    Jul 27, 2026Zengyi Wo, Shiyu Zhang, Qiyao Peng +2HeterogeneityLoss Function

    Nanjing University, Nanjing, China · Tianjin University, Tianjin, China

  50. Subject-Level Heterogeneity in EEG Motor Imagery Decoding: A Large-Scale Benchmark and Portfolio-Based Reduction of the Search Space

    Jul 24, 2026Xavier Vasques, Paul Barbaste, Olivier OullierControlled ComparisonLarge-Scale Benchmark

    IBM Technology, Bois-Colombes, France · IBM France Lab, Orsay, France · Wavestone, Paris, France +4

  51. Dementia Etiology Diagnosis via Collaborative Meta Knowledge Enhancement

    Jul 24, 2026Siyuan Du, Mengxi Chen, Xinyang Jiang +6AlzheimerMultimodal Clinical Data

    School of Computer Science, Fudan University · Cooperative Medianet Innovation Center, Shanghai Jiao Tong University · Microsoft Research Asia, Shanghai, China +1

  52. Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement

    Jul 24, 2026Guoming Li, Jian Yang, Xukun Wang +3Graph Neural NetworksHeterogeneity

    Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China · School of Information, Renmin University of China, Beijing, China · Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China +2

  53. Towards Privacy-Preserving Federated Prompt Tuning under Data Heterogeneity: A Subspace-Decomposed Expert Approach

    Jul 23, 2026Yuhua Wang, Xiaodong Li, Yihao Guo +6Soft Prompt TuningHeterogeneity

    School of Artificial Intelligence, Beihang University Beijing, China · Center for the Applied Statistics, School of Statistics, Renmin University of China Beijing, China · School of Computer Science & Technology, Beijing Jiaotong University Beijing, China +2

  54. One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification

    Jul 22, 2026Afsaneh Mahanipour, Hana KhamfroushFederated LearningMedical Image Classification

    Department of Computer Science University of Kentucky Lexington, KY, USA

  55. Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types

    Jul 22, 2026Michał Romaszewski, Kamil Drejer, Katarzyna Kołodziej +7Sentinel-2Building Information Modeling

    Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100 Gliwice, Poland · Space Research Centre, Polish Academy of Sciences Bartycka 18a, 00-716 Warszawa, Poland

  56. Do Sheaf Neural Networks Use Holonomy? A Measure--Intervene--Control Study

    Jul 21, 2026Ankit Grover, Rémi BourgerieSheaf Neural NetworksNeural Network

    KTH Royal Institute of Technology, Stockholm, Sweden

  57. Unveiling Invariant and Transferable Latent Factors Across Heterogeneous Environments via ATLAS

    Jul 20, 2026Yihong Gu, Katherine Liao, Tianxi CaiExploratory Factor AnalysisLatent Variable

    Harvard University

  58. DADIR: Density-Aware Data-level Imbalanced Regression Framework

    Jul 19, 2026Shermin Shahbazi, Hossein Mohammadi, Mohsen AfsharchiImbalanced ClassificationConditional Variational Autoencoder

    Department of Computer Engineering, University of Zanjan, Zanjan, Iran.

  59. What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity

    Jul 16, 2026Kumar Kshitij Patel, Rustem Islamov, Sebastian U Stich +3SmoothnessStochastic Gradient Descent

    Department of Mathematics and Computer Science University of Basel Basel, Switzerland 4001 · Simons Institute for the Theory of Computing, Berkeley · Department of Data Science New Jersey Institute of Technology Newark, NJ, USA 07102

  60. Representation Learning for Semiparametric Causal Mediation Analysis under No Essential Heterogeneity

    Jul 12, 2026Roberto Faleh, Sofia Morelli, Holger BrandtCausal Mediation AnalysisHeterogeneous Treatment Effects

    Methods Center University of Tübingen, Germany