Discrepancy

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1 paper in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. Investigating Human--AI Discrepancies via Multiple-Solution Problems

    Sep 28, 2026Zihao Wang, Francesco Insulla, Andrea MontanariLarge Reasoning ModelsDiscrepancy

    Department of Mathematics, Stanford University · Institute of Computational and Mathematical Engineering, Stanford University · Department of Statistics and Department of Mathematics, Stanford University

  2. Dude: A Dual-Detection Multi-Agent System for Paper-Code Discrepancy Detection

    Sep 3, 2026Weijie Liu, Running Zhao, Wenhao Yuan +4Code QualityArtificial Intelligence Detection

    The University of Hong Kong · Sun Yat-sen University

  3. Uncertainty-Aware World Model for Aerial Image-Goal Navigation

    Aug 6, 2026Deyi Zhu, Haoyu Fan, Yinan Zhu +4Aerial Vision-Language NavigationUnmanned Aerial Vehicles

    Tsinghua Shenzhen International Graduate School, Tsinghua University

  4. ReDiPPO: Reference-Guided Value Calibration and Discrepancy-Aware Token Reweighting for Mathematical Reasoning

    Jul 30, 2026Zhenrong Zhang, Fei Wu, Jun Du +2Mathematical Reasoning BenchmarksMathematical Reasoning

    1IFLYTEK Research · University of Science and Technology of China

  5. Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies

    Jul 18, 2026Murali Indukuri, Mohammad Eskandari, Sree Nitya Kollu +2HazardSecurity Signals

    Interactive Robotics and Language Lab, University of Maryland Baltimore County, Computer Science and Electrical Engineering Department, Baltimore, MD, USA. · DEVCOM Army Research Laboratory, Adelphi, MD, USA.

  6. SteinGate: Tail-Sensitive Safe Reinforcement Learning via Stein Discrepancy

    Jul 14, 2026Yassine Chemingui, Chenhua Fan, Honghao Wei +1Offline Reinforcement LearningDiscrepancy

    School of Electrical Engineering and Computer Science, Washington State University, Pullman, Washington, USA

  7. Where Is My Physics Wrong? Localized and Identifiable Discovery of Model Discrepancy

    Jun 22, 2026Yifan WangDiscrepancyModel Discovery

    Department of Mechanical Engineering, McGill University, QC, H3A 2T7, Canada

  8. Orthogonal Discrepancy Kernels for Learning with Partial Physics

    Jun 19, 2026Swapnil Manna, Timothy J. Rogers, Lawrence BullSystem IdentificationPhysics-Informed Learning

    IISER Pune, India · University of Sheffield, UK · University of Glasgow, UK

  9. An Asymmetric Formula for Interval Consonance and its Relation to Harmonic Coincidence

    Jun 15, 2026David De RoureDiscrepancyTask Arithmetic

    Department of Engineering Science, University of Oxford, Oxford, UK. · Technical Director, Centre for Practice & Research in Science & Music (PRiSM), Royal Northern College of Music, Manchester, UK.

  10. BIM-Loc: BIM-Integrated Discrepancy-Aware LiDAR-based Indoor Localization

    Jun 12, 2026Yinqiang Zhang, Liang Lu, Yipeng Pan +5Indoor LocalizationDiscrepancy

    Department of AI & Data Science, University of Hong Kong (HKU), Hong Kong, China. · Humanoids and Human Centered Mechatronics Research Line, Italian Institute of Technology (IIT) Genoa, Italy. · Department of Architecture and Civil Engineering, City University of Hong Kong (CityU), Hong Kong, China.

  11. Spatially Selective Self-Training for Unsupervised Building Change Detection

    Jun 9, 2026Wafaa I. M. Hussin, Zhi Lu, Anas M. I. Mohammed +3Change DetectionUnsupervised Detection

    School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China · Laboratory of Intelligent Collaborative Computing, University of Electronic Science and Technology of China, Chengdu 611731, China · School of Civil Engineering, University of Khartoum, Khartoum, Sudan +2

  12. Reformulate LLM Reinforcement Learning for Efficient Training under Black-box Discrepancy

    Jun 7, 2026Jiashun Liu, Runze Liu, Xu Wan +3Large Language Model Reinforcement LearningTraining-Inference Mismatch

    1Hong Kong University of Science and Technology · 2Zhejiang University · 3Tianjin University

  13. KODA: Contrastive Representation Comparison and Alignment for Vision-Language Foundation Models

    Jun 2, 2026Youqi Wu, Mohammad Jalali, Farzan FarniaContrastive LearningVision-Language Foundation Models

    Department of Computer Science and Engineering, The Chinese University of Hong Kong.

  14. APIC: Amortized Physics-Informed Calibration using Neural Processes

    Jun 2, 2026Aishwarya Venkataramanan, Sai Karthikeya Vemuri, Joachim DenzlerPhysics-Informed LearningCalibrated Uncertainty

    Computer Vision Group, Friedrich Schiller University Jena, Germany

  15. Detecting Unfaithful Chain-of-Thought via Circuit-Guided Internal-External Discrepancy

    May 25, 2026Xu Shen, Zhen Tan, Song Wang +4Reasoning TracesExplanation Consistency Score

    1Jilin University · University of Central Florida · 3Arizona State University +2

  16. Discrepancy Minimization Improves Cross-Hospital Robustness in Digital Pathology

    May 24, 2026Ben Vardi, Dana Schonberger, Yuval Friedmann +4Pathology Foundation ModelsDigital Pathology

    Reichman University, Herzliya, Israel · Institute of Pathology, Sheba Medical Center, Ramat-Gan, Israel · Technion - Israel Institute of Technology, Haifa, Israel

  17. Nyström Kernel Stein Discrepancy Tests

    May 24, 2026Florian Kalinke, Zoltán Szabó, Bharath K. SriperumbudurKernel MethodDiscrepancy

    Chair of Information Systems Karlsruhe Institute of Technology Am Fasanengarten 5, 76131 Karlsruhe, Germany · Department of Statistics London School of Economics Houghton Street, London, WC2A 2AE, UK · Department of Statistics The Pennsylvania State UniversityMay University Park, PA 16802, USA

  18. Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy

    May 5, 2026Kisung YouMarkov Chain Monte CarloSample Size

    Department of Mathematics, Baruch College · Department of Mathematics, The Graduate Center, City University of New York

  19. Rethinking Intrinsic Dimension Estimation in Neural Representations

    Apr 22, 2026Rickmer Schulte, David RügamerNeural RepresentationsIntrinsic Dimensionality

    LMU Munich, MCML

  20. Finding Low Star Discrepancy 3D Kronecker Point Sets Using Algorithm Configuration Techniques

    Apr 1, 2026Imène Ait Abderrahim, Carola Doerr, Martin DurandMaximum Mean DiscrepancyBayesian Quadrature

    Sorbonne University, CNRS, LIP6, F-75005 Paris, France · Khemis Miliana University, Ain Defla, Algeria

  21. Maximum Mean Discrepancy with Unequal Sample Sizes via Generalized U-Statistics

    Dec 16, 2025Aaron Wei, Milad Jalali, Danica J. SutherlandMaximum Mean DiscrepancyTwo-Sample Testing

    University of British Columbia · Independent researcher, Vancouver, Canada · Alberta Machine Intelligence Institute

  22. Transport Discrepancy as a Reliability Signal for Vision-Language-Action Models

    Dec 1, 2025Wanpeng Zhang, Ye Wang, Hao Luo +6Action ChunksDiscrepancy

    1Peking University · 3BeingBeyond · 2Renmin University of China

  23. Bit-Accurate Modeling of GPU Matrix Multiply-Accumulate Units: Demystifying Numerical Discrepancy and Accuracy

    Nov 14, 2025Peichen Xie, Shuotao Xu, Yang Wang +2Matrix MultiplicationNvidia

  24. A Discrepancy-Based Perspective on Dataset Condensation

    Sep 12, 2025Tong Chen, Raghavendra SelvanDiffusion-Based Dataset DistillationDistributional Fidelity

    Department of Computer Science, University of Copenhagen, Denmark

  25. LLMs and their Limited Theory of Mind: Evaluating Mental State Annotations in Situated Dialogue

    Sep 2, 2025Katharine Kowalyshyn, Matthias ScheutzLarge Language Model AnnotationsDialogue

    Department of Computer Science Tufts University

  26. Beyond Perceptual Distance: Discrepancy Assessment on Deep Representation for Out-of-Distribution Detection with Diffusion Model

    Sep 16, 2024Kun Fang, Zuopeng Yang, Haibo Hu +3Out-Of-Distribution DetectionUnsupervised Detection

    Department of Automation, Shanghai Jiao Tong University · Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University · The Intsig Information Co., Ltd., Shanghai, China +1

  27. DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation

    Date pendingYuchen Xia, Qianguo Sun, Chao Song +3Efficient On-Policy DistillationUni-Opd

    The Chinese University of Hong Kong · IDEA Research · Emdoor Research Institute