Spurious Correlation

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28 papers4 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

Measuring Artifact Reliance in Machine-Generated Text Detectors
Oct 9, 2026Anastasia Voznyuk, Andrey GrabovoySpurious Correlation AI-Generated Text Detection
Advacheck OÜ Tallinn, Estonia · Moscow State University Moscow, Russia
Stress-Testing LLM Lie Detectors: Role-Play Failures and Spurious Correlations
Sep 30, 2026Maximilian von Klinski, Sebastian Lapuschkin, Wojciech Samek +1Deception in Language Models LLM Reliability
Fraunhofer HHI · TU Dublin · TU Berlin +1
Whitening Improves Robustness to Spurious Correlations in Linear Probes
Sep 30, 2026Floris Holstege, Bram Wouters, Noud van Giersbergen +1Linear Probing Feature Whitening
University of Amsterdam, Department of Quantitative Economics · Tinbergen Institute
LUCID: Learning Under Confounding for Inference and Discovery in Time Series
Sep 25, 2026Mohammad FesangharyTime-Series Causal Discovery Causal Inference with Unobserved Confounding
Bloomberg L.P.
SAGE: Subpopulation-Aware Generative Enhancement for Mitigating Spurious Correlations
Sep 1, 2026Yiming Luo, Rongqiang Zhao, Jie LiuDistribution Shift Robustness Synthetic Data Augmentation
1Harbin Institute of Technology · 2State Key Laboratory of Smart Farm Technologies and Systems
UNMASK: Discovering and Causally Verifying Spurious Shortcuts in Text Classifiers
Aug 10, 2026Chidaksh Ravuru, Shashank SrivastavaClassification Spurious Correlation Robustness
Department of Computer Science University of North Carolina, Chapel Hill
Perturbation Sensitivity at Convergence: A Simple Signal for Identifying Spuriously Correlated Samples
Aug 5, 2026Nilesh KumarTraining Data Selection Classification
From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios
Jul 28, 2026Athanasios Vlontzos, Giorgos Papanastasiou, Bernhard Kainz +1Feature Attribution Causal Attribution
Hologen AI London, UK · Mathematics Research Centre Academy of Athens Athens, GR · FAU Erlangen Nuremberg Imperial College London Erlangen, DE & London, UK +1
Entangled by Design: Spurious Intra-Variable Signal Routing in Tabular In-Context Learners
Jul 28, 2026Athanasios Vlontzos, Giorgos Papanastasiou, Bernhard Kainz +1Spurious Correlation Robustness Tabular ICL
Hologen AI London, UK · Mathematics Research Centre Academy of Athens Athens, GR · FAU Erlangen Nuremberg Imperial College London Erlangen, DE & London, UK +1
When Data Imbalance Helps: Robust Generalization Through Shortcut Saturation
Jul 11, 2026Cheng-Ting Chou, Duc Binh HoangClass-Imbalanced Learning Transformer
University of California, Los Angeles
Statistical Adversaries: Natural Backdoor-like Features in Vision Datasets
Jul 6, 2026Paul K. Mandal, Pavan Reddy, Tristan MalatynskiAdversarial Examples Spurious Correlation
1Neurint, LLC, Baton Rouge, LA, USA. · 2U.S. Army Cyber Corps, U.S. Army Reserve, USA. · 3Northwestern State University of Louisiana, Natchitoches, LA, USA. +2
SGD Provably Prioritizes a Shortcut Spurious Feature in the XOR Model
Jun 29, 2026Tyler LaBonte, Vidya MuthukumarRepresentation Learning ReLU Neural Networks
H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology · School of Electrical and Computer Engineering, Georgia Institute of Technology
SIR: Structured Image Representations for Explainable Robot Learning
Jun 29, 2026Paul Mattes, Jan Schwab, Jens Bosch +5Robot Policy Learning Graph Representation Learning
Intuitive Robots Lab, Karlsruhe Institute of Technology, Germany · Robotics Institute Germany
One-Step Generalization Ratio Guided Optimization for Domain Generalization
Jun 15, 2026Sumin Cho, Dongwon Kim, Kwangsu KimDomain Generalization Adaptive Gradient Methods
Department of Computer Science and Engineering, University of Sungkyunkwan, Suwon, Korea.
Is Spurious Correlation Removal Always Learnable?
Jun 11, 2026Yibo Zhou, Bo Li, Hai-Miao Hu +3Spurious Correlation Robustness Invariant Representation Learning
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
Style or Content? Evaluating Style Classifiers with Controlled Content Overlap
Jun 5, 2026Zhuo Liu, Haozheng Du, Xiangxiang Xu +1Text Classification Classification
University of Rochester
Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing
Jun 1, 2026Arda Fazla, Abolfazl HashemiDebiased ML Training Data Selection
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.
Shortcut to Nowhere: Demystifying Deep Spurious Regression
Jun 1, 2026Guanrong Xu, Jessica Li, Hao Wang +1OOD Generalization Spurious Correlation Robustness
University of California, Los Angeles · Rutgers University
idSCD: Identifying Training Datasets through Semantic Correlation Descriptors
May 28, 2026Andrada Gobeaja, Ionut Hodoroaga, Marius Leordeanu +1Membership Inference Attacks Spurious Correlation
POLITEHNICA University of Bucharest · Institute of Mathematics of the Romanian Academy · Bitdefender, Romania
Unsupervised Identification and Removal of Spurious Correlations During Fine-Tuning
May 26, 2026Ciarán M. Gilligan-Lee, Joseph Egan, Yuchen Zhu +1LLM Fine-Tuning Political Bias in Language Models
Spotify University College London · Spotify · University College London
Cumulative Meta-Learning from Active Learning Queries for Robustness to Spurious Correlations
May 20, 2026Kin Whye Chew, Jingxian WangMeta-Learning Active Learning
Department of Computer Science National University of Singapore Singapore, S119077
SpurAudio: A Benchmark for Studying Shortcut Learning in Few-Shot Audio Classification
May 13, 2026Giries Abu Ayoub, Morad Tukan, Loay MualemFew-Shot Audio Classification Audio Understanding
Independent Researcher · University of Stuttgart, Germany · IMPRS-IS, Germany
Shortcut Mitigation via Spurious-Positive Samples
May 13, 2026Phuong Quynh Le, Jörg Schlötterer, Sari Sadiya +2Neural Network Robustness Spurious Correlation Robustness
University of Marburg · Goethe University Frankfurt
Separating Shortcut Transition from Cross-Family OOD Failure in a Minimal Model
May 13, 2026Hongmin LiLogistic Regression OOD Generalization
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
Spurious Correlation Learning in Preference Optimization: Mechanisms, Consequences, and Mitigation via Tie Training
May 11, 2026Christian Moya, Alex Semendinger, Guang Lin +1Pairwise Preference Learning LLM Alignment
Department of Mathematics, Purdue University, West Lafayette IN, USA
Product-of-Experts Training Reduces Dataset Artifacts in Natural Language Inference
Apr 21, 2026Aby Mammen MathewDebiased ML Natural Language Inference
The University of Texas at Austin
cc-Shapley: Measuring Multivariate Feature Importance Needs Causal Context
Feb 23, 2026Jörg Martin, Stefan HaufeFeature Attribution Shapley Value Attribution
Physikalisch-Technische Bundesanstalt, Berlin, Germany · Technische Universität Berlin, Berlin, Germany · Charité – Universitätsmedizin Berlin, Berlin, Germany
Clever Materials: When Models Identify Good Materials for the Wrong Reasons
Feb 18, 2026Kevin Maik JablonkaSpurious Correlation Materials Property Prediction
Laboratory of Organic and Macromolecular Chemistry (IOMC), Friedrich Schiller University Jena, Humboldtstrasse 10, 07743 Jena, Germany · Helmholtz Institute for Polymers in Energy Applications Jena (HIPOLE Jena), Lessingstrasse 12-14, 07743 Jena, Germany · Center for Energy and Environmental Chemistry Jena (CEEC Jena), Friedrich Schiller University Jena, Philosophenweg 7a, 07743 Jena, Germany +1

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Measuring Artifact Reliance in Machine-Generated Text Detectors

Anastasia Voznyuk, Andrey Grabovoy

Advacheck OÜ Tallinn, Estonia · Moscow State University Moscow, Russia

Spurious Correlation AI-Generated Text Detection Robustness of Machine-Generated Text Detection

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Detectors of machine-generated text score almost perfectly on scientific-literature benchmarks, implying we can reliably distinguish with these detectors human and machine-generated documents. We looked at ten scientific-document subsets from six popular resources, and on several of them that apparent ease is a side effect of how the documents were put together. A logistic regression using 27 superficial features reached 0.833-0.997 macro-F1, and on the three arXiv subsets it outperformed every detector we evaluate with F1-scores 0.951-0.997. The strongest cue to the detector is the PDF extraction artifact: human texts retain their original line breaks, whereas generated texts are extracted as a single block of prose. This cue, together with three other formatting features, tell the classes apart at 0.996 AUC. To distinguish benchmarks that contain such a signal from detectors that rely on one, we introduce format counterfactuals: just re-wrapping a machine-written abstract without changing a single word reverses 20-27% of a public detector's correct decisions. Normalizing formatting before training reduces the generalization gap from 0.32 to 0.22. On format-clean benchmarks, it also raises out-of-domain macro-F1 from 0.33 to 0.65 for detectors trained on artifact-containing subsets.