Spurious Correlations

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14 papers in the last four weeks, up 180% on the four weeks before. 0.1% of all new papers.

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  1. MCIR: A Feature Dependence-Aware Explainability Method with Reliability Guarantees

    Oct 1, 2026Poushali Sengupta, Sabita Maharjan, Frank Eliassen +2Feature ImportanceExplainability

    Department of Informatics, University of Oslo Oslo, Norway · Department of Electronic Systems, Aalborg University Aalborg, Denmark

  2. Optimal Transport Reweighting for Robust Learning under Spurious Correlations and Label Noise

    Oct 1, 2026Sung Ho Jo, Seonghwi Kim, Wonsang Yun +1Noisy LabelsReweighting

    Pohang University of Science and Technology (POSTECH)

  3. Stress-Testing LLM Lie Detectors: Role-Play Failures and Spurious Correlations

    Sep 30, 2026Maximilian von Klinski, Sebastian Lapuschkin, Wojciech Samek +1Stress TestingResponses

    Fraunhofer HHI · TU Dublin · TU Berlin +1

  4. Whitening Improves Robustness to Spurious Correlations in Linear Probes

    Sep 30, 2026Floris Holstege, Bram Wouters, Noud van Giersbergen +1WhiteningSpurious Correlations

    University of Amsterdam, Department of Quantitative Economics · Tinbergen Institute

  5. EVOKE: Eliciting World Knowledge in Agents for Transferable Decision-Making

    Sep 29, 2026Yuhan Guo, Jinming Liu, Liang Xu +8WorldPost-Training

    Shanghai Jiaotong University · Eastern Institute of Technology, Ningbo · Zhongguancun Academy, Beijing, China +1

  6. Disentangling Spurious Correlations in Vision-Language-Action Models via Predicting Domain-Invariant Latent Lookahead

    Sep 29, 2026Junghyun Kim, Ngseo Kim, ChungWoo Lee +7Latent PredictionSpurious Correlations

    OpenMind, San Francisco, CA, USA · Seoul National University, Seoul, Korea · Hyundai Motors, Korea +2

  7. Uncovering shortcut learning in audio classifiers by discovering recurring concepts in temporal explanations

    Sep 27, 2026Cecilia Bolaños, Luciana Ferrer, Magdalena FuentesShortcut LearningClassifier

    Departamento de Computación, FCEyN, UBA · ICC, CONICET-UBA, Buenos Aires, Argentina · Music and Audio Research Lab, New York University, USA +1

  8. Null importance: Disentangling relevance for interpretable machine learning

    Sep 16, 2026Garvesh Raskutti, Kris Sankaran, Jiaxin YeFeature ImportanceImportance

    Department of Statistics, University of Wisconsin–Madison

  9. Sharp Rates and a One-Line Correction for Spectral Representation Learning

    Sep 14, 2026Dier Tang, Jing Yee Tan, Guangyue HanSelf-Supervised RepresentationsSubspace

    Department of Mathematics, The University of Hong Kong

  10. When Correlations Mislead: Confounder-Aware Multi-View Urban Region Representation Learning

    Sep 14, 2026Sean Bin Yang, Ying Sun, Zongyi Xu +6Multi-ViewCross-View

    Aalborg University, Aalborg, Denmark · Chongqing University of Posts and Telecommunications, Chongqing, China · East China Normal University, Shanghai, China

  11. Politics of Feelings: Emotional Expression and Legislative Effectiveness in the U.S. Congress

    Sep 9, 2026Segun AroyehunParliamentary DebatesEmotional Regulation

    University of Konstanz

  12. Scored vs. Generated Readouts in Behavioral Language Models: An Empirical Study of Elicitation Format

    Sep 9, 2026Touchapon Kraisingkorn, Krittin Pachtrachai, Wachiravit ModecruaFree-Form Textual RationalesReadout

    Amity Research and Application Center (ARAC), Amity Group

  13. Vision: Data-Centric Anchoring for Robust and Interpretable Agentic AI

    Sep 8, 2026Arun Vignesh Malarkkan, Xinyuan Wang, Yanjie FuAgent LoopTrustworthy Artificial Intelligence

    School of Computing and Augmented Intelligence, Arizona State University, USA

  14. Nyström Attention Matches Full Attention for Cross-Sectional Stock Prediction

    Sep 8, 2026Kunhan GuoMulti-Head AttentionSpurious Correlations

    The University of Hong Kong

  15. Guide, Not Bind: Why Defeasible Priors Fail in Augmented Lagrangian Causal Discovery

    Sep 3, 2026Sairam Sundararaman, Sara Girdhar, Manit Narasimha Murthy +2Causal Discovery MethodsPrior Knowledge Integration

    Department of Computer Science (AI & ML) PES University · Department of Computer Science2026 PES University · Department of Computer Science PES University

  16. SAGE: Subpopulation-Aware Generative Enhancement for Mitigating Spurious Correlations

    Sep 1, 2026Yiming Luo, Rongqiang Zhao, Jie LiuSpurious CorrelationsMinority

    1Harbin Institute of Technology · 2State Key Laboratory of Smart Farm Technologies and Systems

  17. Sycophantic Agreement Transfers with Neutral Data via Contrastive Preference Optimization

    Aug 31, 2026Camila Blank, Zhuofan Ying, Christopher Potts +2SycophancyAgreement

    1Stanford University · 2Columbia University

  18. Partition-Aware Unlearning for Removing Spurious Correlations in Large Vision-Language Models

    Aug 30, 2026Aditi Sarker, Nazreen Shah, Rafi Ibn Sultan +3Recent Vision-Language ModelsLarge Language Model Hallucination

    Department of Computer Science, Wayne State University, MI, USA · Department of Electronics & Communications Engineering, IIIT Delhi, India · Institute for AI and Data Science (AIDaS), Wayne State University, MI, USA

  19. UNMASK: Discovering and Causally Verifying Spurious Shortcuts in Text Classifiers

    Aug 10, 2026Chidaksh Ravuru, Shashank SrivastavaLarge Language Model ClassificationSpurious Correlations

    Department of Computer Science University of North Carolina, Chapel Hill

  20. Perturbation Sensitivity at Convergence: A Simple Signal for Identifying Spuriously Correlated Samples

    Aug 5, 2026Nilesh KumarSpurious CorrelationsEmpirical Risk Minimization

  21. Post-Hoc Trajectory-Risk Certification for Modular LLM-Based Security Agents

    Aug 4, 2026Zhenpeng LiSecurityCertification

    Guangzhou Health Science College, No. 248 Guangyuan Middle Road, Guangzhou, Guangdong 510405, China

  22. RADAR: Rubric-Aware Dependency and Redundancy Analysis for LLM-as-Judge Evaluation

    Aug 3, 2026Divyansh Singh, Reza Davari, Afra MashhadiLlm-As-A-JudgeGrading

    Microsoft · University of Florida · University of Washington

  23. CorrelationFlow: A Training-Free Geometric Approach for LiDAR Scene Flow Estimation

    Jul 31, 2026Minh-Quan Dao, Yancong Lin, Julie Stephany Berrio Perez +1Optical FlowLidar

    Nantes Université · University of Nottingham · University of Queensland +1

  24. Correlation between prosody and pragmatics: A case study of the discourse marker hālā `now' in Persian

    Jul 30, 2026Soleiman Ghaderi, Moloud Asakereh, Kevin TangPersianProsody

    Department of Linguistics, Faculty of Foreign Languages, University of Isfahan, Isfahan, Iran · Department of English Language and Linguistics, Institute of English and American Studies, Faculty of Arts and Humanities, Heinrich Heine University Düsseldorf, Germany

  25. CoCaRS: Correlation Calibration-Based Redundancy Suppression for Heterogeneous Knowledge Distillation

    Jul 29, 2026Fengming Yu, Haiwei Pan, Kejia Zhang +3Knowledge DistillationTeacher

    College of Computer Science and Technology, Harbin Engineering University, Harbin, China

  26. TreeCCA: Canonical Correlation Analysis via Gradient-Boosted Trees

    Jul 29, 2026James ChapmanSpurious CorrelationsTrees

  27. Graph-Based Correlation Matrix Generation: A Convex Optimization Approach

    Jul 24, 2026Ali Fakhar, K{é}vin Polisano, Ir{è}ne Gannaz +1Full-Rank Correlation MatricesMatrix

    UGA · Univ. Grenoble Alpes, CNRS, Grenoble INP, Inria, LJK, F-38000 Grenoble, France · G-SCOP\_GROG, G-SCOP, Grenoble INP, UGA +2

  28. Attention Without Grounding: Causal Evaluation of Visual Explanations in Medical VLMs

    Jul 20, 2026Binesh Sadanandan, Vahid BehzadanMedical Vision-Language ModelsExplainable AI Methods

    SAIL Lab, University of New Haven, West Haven, CT, USA

  29. Machine Learning-based Correlation of Charpy Impact Properties Between Sub-sized and Standard-sized Specimens for Nuclear Structural Materials

    Jul 11, 2026Yugandhar Kasala Sreenivasulu, Isshu Lee, John W. Merickel +5Nuclear FusionSpurious Correlations

    University of Idaho, Department of Computer Science, Moscow, ID 83843, USA · Idaho National Laboratory, Idaho Falls, ID 83415, USA · Department of Computer Science, University of Texas at El Paso, El Paso, TX, United States

  30. When Data Imbalance Helps: Robust Generalization Through Shortcut Saturation

    Jul 11, 2026Cheng-Ting Chou, Duc Binh HoangClass ImbalanceSpurious Correlations

    University of California, Los Angeles

  31. High-Dimensional Procrustes Matching via Tree Counts

    Jul 9, 2026Xiaochun Niu, Tselil Schramm, Jiaming XuHigh-DimensionalGaussian Primitives

    The Fuqua School of Business, Duke University, Durham NC, USA · Department of Statistics, Stanford University, Stanford, CA, USA

  32. Breaking Spurious Correlations via Generative Randomization and Cross-Variant Self-Supervised Learning

    Jul 7, 2026Suraj Yadav, Anjaneya Sharma, Siddharth YadavSelf-Supervised LearningDistribution Shifts

    Indraprastha Institute of Information Technology Delhi

  33. Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study

    Jul 7, 2026Sangwon Jung, Sumin Yu, Sanghyuk Chun +1Algorithmic FairnessClassifier

    Department of Electrical and Computer Engineering, Seoul National University · NAVER AI Lab · ASRI/INMC/IPAI/AIIS, Seoul National University

  34. A More Accurate Algorithm Comparison through A/B Testing using Offline Evaluation Methods

    Jul 2, 2026Koki Konishi, Masataka Ushiku, Yuta SaitoAlgorithm SelectionBias-Variance Decomposition

    Hakuhodo DY Holdings Inc. Minato City, Tokyo, Japan · Cornell University Ithaca, New York, United States

  35. RusFinChain: A Russian Benchmark for Verifiable Chain-of-Thought Reasoning in Finance with Fuzzy-Aligned Evaluation

    Jul 1, 2026M. K. ArabovReasoning ChainLegal Natural Language Processing Benchmarks

    Kazan Federal University · Institute of Computational Mathematics and Information Technologies · Department of Data Analysis +1

  36. Constrained Bayesian Optimisation with Multiple Information Sources

    Jul 1, 2026Hauke Maathuis, Roeland De Breuker, Saullo Castro +1Prompt OptimizationSpurious Correlations

    TU Delft · University of Oxford

  37. Automated Background Swapping for Robustness against Spurious Backgrounds

    Jun 30, 2026Cesar Roder, Kajetan SchweighoferData AugmentationImage Classification

    Johannes Kepler University Linz, Austria · Cognizant AI Lab, USA ∗ · ∗Work partly done while at Johannes Kepler University Linz, Austria

  38. SGD Provably Prioritizes a Shortcut Spurious Feature in the XOR Model

    Jun 29, 2026Tyler LaBonte, Vidya MuthukumarFeature LearningRectified Linear Unit Networks

    H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology · School of Electrical and Computer Engineering, Georgia Institute of Technology

  39. Full-Body Golf Swing Kinematic Reconstruction From a Smartwatch IMU

    Jun 22, 2026Yuanshuo Tan, Kezhe Zhu, Xiujie Sun +11WristInertial Measurement Units

    State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China · Key Laboratory for Power Machinery and Engineering of the Ministry of Education, Shanghai Jiao Tong University, Shanghai, 200240, China · Department of Computer Science, National University of Singapore, Computing 1, 13 Computing Drive, Singapore +4

  40. From Correlation to Causation in Lane Change Prediction for Automated Driving: A Causal Explanation Framework

    Jun 14, 2026Mohamed Manzour, Aditya Kumar, Augusto Luis Ballardini +1Human DrivingCausal Inferences

    Computer Engineering Department, University of Alcalá, Madrid, Spain

  41. Neural Variability Enhances Artificial Network Robustness

    Jun 11, 2026Robin Preble, Praveen Venkatesh, Stefan Mihalas +1Neural NetworkSpurious Correlations

    Department of Computer Science, Western Washington University, Bellingham, WA 98225 · Allen Institute, Seattle, WA 98195

  42. Is Spurious Correlation Removal Always Learnable?

    Jun 11, 2026Yibo Zhou, Bo Li, Hai-Miao Hu +3Equivariant LearningSpurious Correlations

    Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing 100191, China · State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China · Hangzhou Innovation Institute of Beihang University, Hangzhou 310051, China +1

  43. Correlation Is Not Enough: Embedding Human Metadata for Individual Causal Discovery

    Jun 8, 2026Suraj Biswas, Saurabh Gupta, Pritam MukherjeeSpurious CorrelationsCausal Graph

    ¹ Assessli Research · ² Dots-In Research, Bengaluru, India

  44. From Shortcuts to Reasoning: Robust Post-Training of Theory of Mind with Reinforcement Learning

    Jun 8, 2026Jike Zhong, Yuxiang Lai, Ming Li +5Theory-Of-Mind ReasoningReinforcement Fine-Tuning

    University of Southern California · 2Emory University · University of Maryland, College Park +4

  45. Analyzing the Correlation Between Hallucinations and Knowledge Conflicts in Large Language Models

    Jun 7, 2026Lucrezia Laraspata, Giovanna Castellano, Gennaro VessioLarge Language Model HallucinationGenerative Hallucination

    Department of Computer Science, University of Bari Aldo Moro, Bari, Italy

  46. Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing

    Jun 1, 2026Arda Fazla, Abolfazl HashemiSpurious CorrelationsSelection Bias

    School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.

  47. Density-Aware Translation of Spurious Correlations in Zero-Shot VLMs

    Jun 1, 2026Afsaneh Hasanebrahimi, Hanxun Huang, Christopher Leckie +1Contrastive Language-Image Pre-Training ModelModality Gap

    School of Computing and Information Systems, The University of Melbourne, Victoria, Australia.

  48. A Fully Convolutional Approach to Denoising Structural Dynamics Data from X-Ray Photon Correlation Spectroscopy

    May 28, 2026Nisar Nellikunnummel, Andi Barbour, Lutz Wiegart +2X-Ray Photon Correlation SpectroscopyIterative Denoising Methods

    Brookhaven National Laboratory, Upton, NY 11973, USA · Currently at: Amazon · Currently at: GE Aerospace Research

  49. Cross-modal characterization of infant cry: validation of a chest-surface accelerometer in extracting acoustic vocal function measures

    May 27, 2026Winko W. An, Saketh Sundar, Lisa Yankowitz +2Accelerometer DataVocalizations

    Division of Developmental Medicine, Boston Children’s Hospital, Boston, MA 02115 USA · Harvard Medical School, Boston, MA 02115 USA · Harvard University, Cambridge, MA 02138 USA +2

  50. Human Decision-Making with AI Assistance under Correlated Features

    May 27, 2026Yanru Guan, Naveen Raman, Fei FangSpurious CorrelationsDecisions

    Carnegie Mellon University

  51. Unsupervised Identification and Removal of Spurious Correlations During Fine-Tuning

    May 26, 2026Ciarán M. Gilligan-Lee, Joseph Egan, Yuchen Zhu +1Model Fine-TuningSpurious Correlations

    University College London · University College London† · Spotify

  52. Reading Task Failure Off the Activations: A Sparse-Feature Audit of GPT-2 Small on Indirect Object Identification

    May 21, 2026Mahdi NasermoghadasiSparse Autoencoder FeaturesSpurious Correlations

    Research Division, BrightMind AI, Seattle, WA · Texas Tech University, Lubbock, TX

  53. Stabilising Explainability Fragility in Cybersecurity AI: The Impact and Mitigation of Multicollinearity in Public Benchmark Datasets

    May 21, 2026Ioannis J. Vourganas, Anna Lito MichalaExplainabilityIntrusion Detection

    Netrity Ltd, Glasgow, UK · University of Glasgow, Glasgow, UK

  54. Cumulative Meta-Learning from Active Learning Queries for Robustness to Spurious Correlations

    May 20, 2026Kin Whye Chew, Jingxian WangActive LearningMeta-Learning

    Department of Computer Science National University of Singapore Singapore, S119077

  55. Deep Attention Reweighting: Post-Hoc Attention-Based Feature Aggregation in CNNs for Disentangling Core and Spurious Features under Spurious Correlations

    May 20, 2026Kin Whye Chew, Jingxian WangConvolutional Neural NetworksSpurious Correlations

    National University of Singapore, Singapore 117583, Singapore

  56. Distribution-Free Uncertainty Quantification for Continuous AI Agent Evaluation

    May 19, 2026Yuxuan Gao, Megan Wang, Yi Ling YuAgentic EvaluationsConformal Inference

    OpenMesh · University of Pennsylvania · Columbia Univer

  57. Are Sparse Autoencoder Benchmarks Reliable?

    May 18, 2026David ChaninSparse Autoencoder FeaturesAutoencoder Architectures

    Decode Research, MATS, UCL

  58. Separating Shortcut Transition from Cross-Family OOD Failure in a Minimal Model

    May 13, 2026Hongmin LiOut-Of-DistributionDecision Boundaries

    School of Life Science and Technology, Institute of Science Tokyo · Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo

  59. Overtrained, Not Misaligned

    May 12, 2026Joel Schreiber, Ariel GoldsteinEmergent MisalignmentLarge Language Models Fail

    Hebrew University of Jerusalem

  60. GeomHerd: A Forward-looking Herding Quantification via Ricci Flow Geometry on Agent Interactive Simulations

    May 12, 2026Lake Yang, Junwei Su, Jingfeng Zeng +5Strategic AgentsSpurious Correlations

    Imperial College London · University of Science and Technology of China · MaxQuant +2