Latest papers 117

18 papers in the last four weeks, up 80% on the four weeks before. 0.1% of all new papers.

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  1. The Silent Failures in Agentic Data Science

    Oct 9, 2026Xue Li, Hongqian Xia, Daniel Gomm +3Data Analysis AgentsLLM Agent Evaluation

  2. Provenance-grouped protocol for evaluating machine learning in perovskite photovoltaics

    Oct 8, 2026Qiwei Han, Chi ZhouBenchmark ValidityData Leakage

  3. Environmental sensor readings in two crop disease image datasets identify the session in which each image was taken

    Oct 5, 2026Sungwoo KangData LeakagePlant Disease Classification

  4. Crop Yield Prediction for Punjab, Pakistan: A Tree-Ensemble and Leaf-Health Prototype, and What Random Validation Hides

    Oct 5, 2026Amina Asif, Qurat ul ain Asif, Noor Bakhat AsifCrop Yield PredictionData Leakage

  5. Repeated-Measure Leakage, Distribution Shift, and Reliability under Partial Observation in Patient World Models

    Oct 3, 2026Arjun SubramanianWorld Model EvaluationData Leakage

  6. EasyClassifier: Honest, Reproducible Machine-Learning Classification for Researchers Who Do Not Program

    Oct 3, 2026Ahmad B. A. Hassanat, Ghada A. AltarawnehML ReproducibilityClassification

  7. Model validation in machine learning: A scenario-based guide from hold-out splits to nested group cross-validation in biomedical and applied research

    Oct 1, 2026Mehmet Baygin, Sengul Dogan, Turker TuncerData LeakageML Reproducibility

  8. Scores That Hold, Benchmarks That Leak: Measuring Dataset Contamination in Public Brain-Tumor MRI Classification

    Sep 30, 2026Bhanu Prakash Vangala, Sowmya Guda, Latha Peddi +1Data LeakageBenchmark Contamination

  9. Evaluation Choices Shape Biomedical ML Claims: A Pediatric Pneumonia Benchmark Case Study

    Sep 29, 2026Bhanu Prakash Vangala, Sowmya Guda, Latha Peddi +1Data LeakageChest X-Ray Classification

  10. Support-Set Target Leakage in Relational Foundation Models during In-Context Learning: Model Dependence and Evaluation Reliability

    Sep 29, 2026Roshan Reddy Upendra, Alexandre Dorais, Joe Meyer +6Relational Foundation ModelsData Leakage

  11. AgentTell: Behavioural Side-Channel Leakage in Browser-Use Agents

    Sep 26, 2026Asif Shahriar, Md Nafiu Rahman, Sadif Ahmed +2Data LeakageAI Agent Security

  12. Unmasking Shortcut Learning in IoT Intrusion Detection: A Forensic, Multi-Paradigm Evaluation of Feature Dependence and Data Leakage

    Sep 23, 2026Uday Shankar Roy, Mahbuba Jahan MinuData LeakageIoT Intrusion Detection

  13. Prediction Is Not Detection: Evaluating Pre-Recognition Claims in Longitudinal Clinical AI

    Sep 22, 2026Jing Yang, Long R. Jiao, Xiujun Cai +1Data LeakageClinical Prediction

  14. Protocol before progress: leakage-aware evaluation of AIS trajectory prediction

    Sep 22, 2026Zobeir Raisi, Vali Mohammad Nazarzehi HadData LeakageDomain Generalization

  15. Anatomical Grounding and Leakage-Aware Multimodal Contrastive Learning for Alzheimer's Disease Classification from Structural MRI

    Sep 14, 2026Paul-Gabriel Nicolae, Irina Georgiana MocanuData LeakageAlzheimer's Disease Classification

  16. Patient-Level, Leakage-Aware Deep Learning for Cross-Center Periapical Radiograph Classification

    Sep 13, 2026Md Jubaer Rahman, Ulas BagciMedical Image ClassificationMedical Image Benchmarks

  17. UniqueShip: Mitigating Data Leakage in Acoustic Ship Classification Benchmark Datasets

    Sep 12, 2026Connor Hashemi, Trevor Stout, Anthony Hoogs +1Audio ClassificationData Leakage

  18. Judging by the Cover: Cleaning LLM Truthfulness Benchmarks to Avoid Surface-Level Feature Leakage

    Sep 11, 2026Foad Namjoo, Remy Ogasawara, Amirali Abdullah +3Data LeakageLLM Evaluation

  19. Target leakage, not model class, explains reported accuracy in survey-based cardiovascular screening: a leakage-tiered audit of glass-box and tabular foundation models

    Sep 10, 2026Raad Bin Tareaf, Murad Al-Rajab, Samia Loucif +2Data LeakageTabular Foundation Models

  20. Privacy Leakage from a Thousand Words: Millipixel Location Recovery from Dot Maps

    Sep 7, 2026Yuntao Du, Tanishq Pauskar, Hao Wang +2Data Leakage

  21. Protocol effects on feature-based hardware-Trojan detection across Trust-Hub families

    Sep 7, 2026Hang Xiao, Chuhong Xu, Kainan Zhou +2Data LeakageCybersecurity

  22. LeakageBench: Document-Level Leakage Risk for Redacting Personally Identifiable Information in Document Images

    Sep 2, 2026Vishnu Prasad Vijaya Kumar, Santhosh Venkatesh, Ivan P. YamshchikovPII DetectionData Leakage

  23. Performative Privacy: When Differential Privacy Maximizes Utility

    Aug 28, 2026Uddalak Mukherjee, Edwige Cyffers, Yann ChevaleyreData LeakageDifferential Privacy

  24. Schrödinger's Code Repository: Have LLMs Learned SWE-bench or Memorized It?

    Aug 21, 2026Silin Chen, Yufei Yang, Xiaodong Gu +3AI Coding AgentsCode Generation Evaluation

  25. Provenance, Not Behaviour: A Serialisation Artifact in Edge-IIoTset and a Leakage-Free Benchmark for Precision-Agriculture Intrusion Detection

    Aug 16, 2026Mostafa M. GalalIoT Intrusion DetectionData Leakage

  26. Prompting is not enough: supervised baselines and leakage control for measuring shared decision-making with LLMs in pediatric encounters

    Aug 14, 2026Bernardo Modenesi, Jody Lin, Kimberly Kaphingst +4Clinical Language Model EvaluationText Classification