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14 papers in the last four weeks, down 18% on the four weeks before. 0.2% of all new papers.

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  1. Auditing Question-Order Effects in Large Language Models with the QQ Equality: Mechanism Characterization and a Saturation Caveat

    Jul 19, 2026Pilsung KangModel JudgmentsModel Auditing

    Department of Software Science, Dankook University Yongin, South Korea

  2. Distribution-First Population Simulation: Collapse, Calibration, and Recall in Non-WEIRD LLM Persona Modeling

    Jul 17, 2026Gurkan OzkanArtificial Intelligence PersonasUser Simulation

    Istanbul Technical University

  3. Distributional Matching for Vector Quantization: A Unified Theoretical and Empirical Framework

    Jul 17, 2026Xianghong Fang, Litao Guo, Hengchao Chen +8Residual Vector QuantizationCodebooks

    University of Toronto · The Hong Kong University of Science and Technology · Lehigh University +2

  4. Testing Distributions Against Bounded Distinguishers

    Jul 17, 2026Mark Bun, Rathin Desai, Renato Ferreira PintoIndistinguishabilityTwo-Sample Testing

    Boston University · Columbia University

  5. 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

  6. DiMaS: Distribution Matching for Steering Vision-Language-Action Models

    Jul 15, 2026Pegah Khayatan, Sara Meziane, Jayneel Parekh +1Flow-Matching Vision-Language-ActionVisuomotor Control

    ISIR, Sorbonne Universit´e, Paris, France · Valeo.ai, Paris, France

  7. Auditing the Risk Claims of Distributional Reinforcement Learning

    Jul 13, 2026Hari PrasadDistributional Reinforcement LearningTarget Risk

  8. Learning Partition Trees for Nearest Neighbor Search

    Jul 10, 2026Sanjeev Khanna, Ashwin Padaki, Erik WaingartenApproximate Nearest-Neighbor SearchO(\Bar{K}\Log N)$

    NYU · University of Pennsylvania

  9. The Effects of Synthetic Data and Label Distribution on Canola Branch Counting

    Jul 10, 2026Amirsalar Darvishpour, Mikolaj Cieslak, Adam RunionsTomato DiseasesSynthetic Data

    Department of Computer Science, University of Calgary

  10. Temporal Knowledge Graph Forecasting under Distribution Shifts: A Synthetic Evaluation

    Jul 10, 2026Konrad Özdemir, Julia Gastinger, Lukas Kirchdorfer +1Temporal Knowledge GraphsDistribution Shifts

    Data and Web Science Group, University of Mannheim, Germany · SAP Signavio, Walldorf, Germany

  11. Statistical Efficiency and Inference of Quantile Distributional Reinforcement Learning

    Jul 9, 2026Zijie Cheng, Yang Peng, Zhihua ZhangDistributional Reinforcement LearningDistributions

    School of Mathematical Sciences, Peking University · Yau Mathematical Sciences Center, Tsinghua University

  12. Stage-Aware Adaptation and Distribution Calibration for Subject-Driven Personalized Text-to-Image Generation

    Jul 8, 2026Wenyan Xu, Alizer WongText-To-ImageTraining-Side Stage-Aware Low-Rank Adaptation

    School of Computer Science, Guangdong University of Technology · School of Computer Science, Peking University · 3ManXis

  13. Learning Flexible Generalization in Video Quality Assessment by Bringing Device and Viewing Condition Distributions

    Jul 6, 2026Nikolay Safonov, Dmitriy S. VatolinVideo QualityPerceptual Quality

    MSU Institute for Artificial Intelligence, Moscow, Russia · AI Center, Lomonosov Moscow State University, Moscow, Russia

  14. Selectivity Estimation for Linear Queries via Online Learning

    Jul 3, 2026Fangzhu Shen, Debmalya Panigrahi, Sudeepa RoyLearning-Augmented AlgorithmsSelectivity

    Duke University, USA

  15. Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data

    Jul 2, 2026Xuanyu Chen, Nan Yang, Shuai Wang +1Decentralized LearningSelf-Supervised Learning

    School of Electrical and Computer Engineering, The University of Sydney · 2Northwestern Polytechnical University

  16. Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments

    Jul 2, 2026Xianhui Meng, Zirui Song, Yuchen Zhang +103D Layout Generation3D Scene Generation

    University of Science and Technology of China · Xiaomi EV · Mohamed bin Zayed University of Artificial Intelligence +4

  17. ComplianceGate: Classifier-Gated Multi-Tier LLM Routing for Inference in Regulated Industries

    Jun 30, 2026Abhishek DeyLarge Language Model RoutingLLM Inference Optimization

    Independent AI Researcher, India

  18. Highly Data Parallelizable Estimation of the Sliced-Wasserstein Distance Using Cumulative Distribution Functions

    Jun 29, 2026Christophe Vauthier, Quentin Mérigot, Anna KorbaWasserstein DistanceDensity Ratio Estimation

    Laboratoire de Mathématiques d’Orsay, Université Paris-Saclay Gif-sur-Yvette, France · Centre de recherche en économie et statistique, ENSAE Palaiseau, France

  19. Adjusted Wasserstein distances for bridging empirical and true distributions with applications to MDS

    Jun 29, 2026Flor Martinez-Sermeno, Arturo Jaramillo, Johan Van HorebeekWasserstein DistanceOptimal Sample Complexity

  20. MTD-Map: Single-Stage Long-Term LiDAR Map Maintenance Framework via Mixture Transition Distribution

    Jun 28, 2026TaeYoung Kim, Gilhwan Kang, Tae Ihn Kim +2Change DetectionVideo Object Removal

    Robotics Lab, Advanced Vehicle Platform Division, Hyundai Motor Company, Uiwang-si, Gyeonggi-do, Republic of Korea

  21. Beyond Trajectory Matching: Reflow with Marginal Distribution Alignment

    Jun 28, 2026Chen Wang, Peiran Yun, Pan Xie +1Diffusion AlignmentDistribution Matching Distillation

    Department of Statistics and Data Science, Tsinghua University · Department of Computer Science and Technology, Tsinghua University · Bytedance Inc

  22. Generalization Analysis of Transformers in Distribution Regression

    Jun 28, 2026Peilin Liu, Ding-Xuan ZhouTransformer ArchitecturesGeneralization Bounds

    School of Mathematics and Statistics, University of Sydney, Sydney, NSW 2006, Australia

  23. He3-Seeker: Robotic Information Planning for Lunar Helium-3 Distribution Mapping

    Jun 27, 2026Dong Li, Yujie Zheng, Chengdeng Cao +4Planetary ExplorationRosetta

    Institute of Automation, Chinese Academy of Sciences, China, and also with the Faculty of Innovation Engineering, Macau University of Science and Technology, Macau · OpenSpace Lab, China · College of Artificial Intelligence, China University of Petroleum (Beijing) +5

  24. Are Tabular Foundation Models Robust to Realistic Query Distribution Shifts in Microbiome Data?

    Jun 23, 2026Giulia Perciballi, Ahmad Fall, Federica Granese +2Tabular Foundation ModelsBacterial Colony Counting

    IRD, Sorbonne Université, Unité de Modélisation Mathématique et Informatique des Systèmes Complexes (UMMISCO), Paris, France · Inria, CNRS, I3S, Université Côte d’Azur, Valbonne, France · INSERM, Nutrition et Obésités; Approches Systémiques, NutriOmique, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France

  25. Learning Dynamical Systems from Multiple Sparse Datasets: A Hierarchical Bayesian Modeling Approach

    Jun 23, 2026Cristian Brugnara, Lea Multerer, Marco Forgione +1System IdentificationDynamical Systems

    SUPSI, Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI), Lugano, Switzerland

  26. FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning

    Jun 23, 2026Xirui Li, Zhe Liu, Xiaoqing Ye +4Multimodal Action DistributionsDistributions

    1The University of Hong Kong · 2Changan Automobile

  27. Target-Aware Linear Regression Under Distribution Shift

    Jun 22, 2026Zhewen Hou, Tian ZhengCovariate ShiftDistribution Shifts

    Department of Statistics Columbia University New York, NY

  28. Calibrating Generative Models to Feature Distributions with MMD Finetuning

    Jun 17, 2026Nathaniel L. Diamant, Brian L. TrippeMolecular GenerationGenerative Models

    Stanford University

  29. Correcting Sensor-Induced Distribution Drift with Wasserstein Adversarial Learning

    Jun 17, 2026Saraa Ali, Vladimir Bocharnikov, Fedor Ratnikov +3RecalibrationDistribution Shifts

    Laboratory of Methods for Big Data Analysis, HSE University, Pokrovsky Boulevard 11, Moscow 109028, Russia

  30. Theoretical Grounding of Out-Of-Distribution Detection With Reinforcement Learning Optimizer

    Jun 16, 2026Salimeh Sekeh, Xin ZhangOut-Of-Distribution DetectionOff-Policy Learning

    San Diego State University

  31. Distribution Alignment for One-Shot Federated Learning via Optimal Transport

    Jun 15, 2026Daniele Berardini, Vito Paolo Pastore, Vittorio MurinoFederated LearningFew-Shot Learning

    AI for Good · AI for Good (AIGO), Italian Institute of Technology, Genoa, Italy · MaLGa-DIBRIS, University of Genoa, Genoa, Italy +1

  32. DCP-Prune: Ultra-Low Token Pruning with Distribution Consistency Preservation

    Jun 15, 2026Xifeng Xue, Xiaokang Wang, Zirui Li +2Visual Token PruningDistribution Shifts

    College of Computer Science, Nankai University, Tianjin, China · Nanjing University of Posts and Telecommunications, Nanjing, China

  33. Riemannian Metric Matching for Scalable Geometric Modeling of Distributions

    Jun 12, 2026Jacob Bamberger, Adam Gosztolai, Pierre Vandergheynst +2Riemannian ManifoldsRiemannian Flow Matching

    Department of Computer Science, University of Oxford, Oxford, UK · Institute of Artificial Intelligence, Medical University of Vienna, Vienna, Austria · EPFL, Lausanne, Switzerland +1

  34. Zero-Inflated Gaussian Distributions Enable Parameter-Space Sparsity in Estimation-of-Distribution Algorithms

    Jun 11, 2026Andreas Faust, Sven Nitzsche, Juergen BeckerEvolutionary OptimizationSparsity

    University of Freiburg, Freiburg, Germany · FZI Research Center for Information Technology, Karlsruhe, Germany · Karlsruhe Institute of Technology, Karlsruhe, Germany

  35. Recursively Trained Diffusion Models: Limiting Collapse Distribution and Spectral Characterization

    Jun 11, 2026Naïl B. Khelifa, Richard E. Turner, Ramji VenkataramananDiffusion ModelsGaussian Mixture Models

    University of Cambridge

  36. Recovering the Zipfian Distribution in Unsupervised Term Discovery

    Jun 9, 2026Danel Slabbert, Simon Malan, Herman KamperClusteringUnsupervised

    Electrical and Electronic Engineering, Stellenbosch University, South Africa

  37. ros2probe: Non-intrusive, Kernel-selective Observability for Robot Operating System 2 Middleware

    Jun 9, 2026Jisang Yu, Sanghoon Lee, Yeonwoo Choi +1Robot Operating SystemPartial Observability

    DGIST Daegu, Republic of Korea

  38. Minimum Distortion Quantization with Specified Output Distribution

    Jun 9, 2026Aolin XuRate-Distortion TheoryQuantizer

  39. Whose Norms? Disentangling Cultural and Personal Alignment in Large Language Models

    Jun 5, 2026Angana Borah, Isabelle Augenstein, Rada MihalceaLarge Language Model AlignmentLarge Language Model Bias

    University of Michigan - Ann Arbor · University of Copenhagen

  40. A Temporal Spatial Minimax Rate for Smoothly-Varying Distributions in Wasserstein Space

    Jun 5, 2026Munsik KimWasserstein DistanceMinimax Rate

  41. Leveraging Soft Distributions of SSL-Derived Discrete Speech Tokens for Downstream Inference

    Jun 5, 2026Kentaro Onda, Satoru Fukayama, Daisuke Saito +1Soft-Token RepresentationsAutomatic Speech Recognition

    The University of Tokyo, Japan · National Institute of Advanced Industrial Science and Technology (AIST), Japan

  42. GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling

    Jun 3, 2026Guangcheng Zhu, Shenzhi Yang, Haobo Wang +9Reinforcement Learning With Verifiable RewardSemi-Supervised Learning

    1Zhejiang University · 2Ant Group

  43. DPDL: Towards Differential Privacy Preservation in Decentralized Stochastic Learning on Non-IID Data

    Jun 3, 2026Yunsheng Yuan, Xue Xiao, Lina Wang +1Decentralized LearningStandard Differential-Privacy

    School of Computer Science and Technology, Shandong University, Qingdao 266237, China · Inspur Cloud Information Technology Co, Ltd.

  44. Edge of Stability Selectively Shapes Learning Across the Data Distribution

    Jun 2, 2026Shauna Kwag, Anakha Ganesh, Tomaso Poggio +1HessianDistributions

    MIT

  45. DECA: Decentralizing Block-Wise Adam for Efficient LLM Full-Parameter Fine-Tuning on Non-IID Data

    Jun 2, 2026Yunsheng Yuan, Shaowei Li, Kai Wang +5Parameter-Efficient Fine-Tuning MethodsLarge Language Model Fine-Tuning

    School of Computer Science and Technology, Shandong University, Qingdao China · School of Mathematical Science, Peking University, China · IEIT SYSTEM, China +2

  46. FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data

    Jun 2, 2026Pengyu Chen, Shaowei Li, Kai Wang +4Better Call Group Relative Policy OptimizationFlow-Grpo

    School of Computer Science and Technology, Shandong University, Qingdao China · School of Mathematical Science, Peking University, China · School of Computer Science and Artificial Intelligence, Shanghai University of Finance and Economics, Shanghai, China +1

  47. VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting

    Jun 1, 2026Xudong Zhang, Jierui Lei, Jiacheng Li +3Multivariate Time Series ForecastingLatent Space

    School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China. · Center for Machine Learning Research, Peking University, Beijing, China. · Amap, Alibaba Group, China. +2

  48. Semi-Supervised Learning with Noisy Proxy Covariates: Generalization Bounds and Distribution Regression

    May 30, 2026Kwangho Kim, Jisu KimSemi-Supervised LearningCovariates

    Department of Statistics, Korea University, Seoul, Korea · Department of Statistics, Seoul National University, Seoul, Korea

  49. Improved Distribution Estimation in ℓ∞\ell_\infty

    May 28, 2026Doron Cohen, Aryeh Kontorovich, Yonatan LivshitzConcentration BoundsDistributionally-Robust Optimization

    Department of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel

  50. Metric-Dependent Annotation Saturation for Learning from Label Distributions

    May 28, 2026Guneet KohliLegal Natural Language Processing BenchmarksDisagreement

    Apple

  51. Latent-Conditioned Parameterized Quantum Circuits as Universal Approximators for Distributions over Quantum States

    May 27, 2026Quoc Hoan Tran, Koki Chinzei, Yasuhiro Endo +1Quantum CircuitsQuantum Machine Learning

    Quantum Laboratory, Fujitsu Research, Fujitsu Limited, Kawasaki, Kanagawa 211-8588, Japan

  52. Entropy-aware Masking for Masked Language Modeling

    May 27, 2026Gokul Srinivasagan, Kai Hartung, Munir GeorgesMasked Diffusion Language ModelsToken-Level Entropy

    AImotion Bavaria, Technische Hochschule Ingolstadt, Germany

  53. Entropy Distribution as a Fingerprint for Hallucinations in Generative Models

    May 27, 2026Mattia J. Villani, Pranav Deshpande, Akshay Seshadri +2Large Language Model HallucinationHallucination Detection

    Global Technology Applied Research, JPMorganChase, New York, NY 10001, USA

  54. Bridging the Sampling Distribution Shift in Radio Map Estimation: A Trajectory-Aware Paradigm

    May 27, 2026Feng Qiu, Zheng Fang, Shuhang Zhang +4Radio Map EstimationUnmanned Aerial Vehicle Trajectories

    School of Artificial Intelligence, Xidian University, Xian, China · Pengcheng Laboratory, China · Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China +2

  55. The Coverage Illusion: From Pre-retrieval Routing Failure to Post-retrieval Cascades in a Production RAG System

    May 26, 2026Zafar Hussain, Kristoffer NielboAgentic Retrieval-Augmented Generation SystemsSearch-Augmented Reasoning

    Aarhus University, Denmark

  56. Transformers Can Learn Posterior Predictive Distributions In-Context

    May 26, 2026Gyeonghun Kang, Changwoo J. Lee, Xiang ChengPosterior Predictive DistributionTransformer Architectures

    Department of Statistical Science, Duke University, Durham, NC, USA · Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA

  57. Proper Calibeating

    May 26, 2026Dean P. Foster, Sergiu HartCalibrated UncertaintyForecast

    Department of Statistics, Wharton, University of Pennsylvania, Philadelphia, and Amazon, New York. · Institute of Mathematics, Department of Economics, and Federmann Center for the Study of Rationality, The Hebrew University of Jerusalem.

  58. The Stability of Singular Distribution: A Spectral Perspective on the Two-Phase Dynamics of Language Model Pre-training

    May 26, 2026Hongtao Zhang, Wenjie Zhou, Chenxi Jia +2Large Language Model PretrainingPretraining

    State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China · School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences, Beijing, China · University of Chinese Academy of Sciences, Beijing, China +1

  59. Geometry Adaptive Counterfactual Distribution Learning with Diffusion-Guided Smoothing

    May 25, 2026Kwangho KimCausal InferencesDistributions

    Department of Statistics, Korea University

  60. SurfSurg6D: Geometry Consistent Dense Correspondence for Textureless Surgical Instrument Pose Estimation

    May 25, 2026Daiyun Shen, Shuojue Yang, Chang Han Low +4Category-Level Object Pose EstimationSurgical Robots

    National University of Singapore, Singapore · The Chinese University of Hong Kong, HKSAR, China