Counterfactual Data Augmentation

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5 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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  1. Same Scene, Different Task: Skill Alignment for Compositional Generalization in VLAs

    Sep 30, 2026Taegeun Yang, Youngju Na, Yoonki Cho +1Vision-Language-Action ModelsCounterfactual Data Augmentation

    Korea Advanced Institute of Science and Technology (KAIST)

  2. When Instructions Retrieve Trajectories: Diagnosing and Mitigating Generalization Failures in VLA Models

    Sep 30, 2026Hung-Jen Chen, Yu-Hsun Hou, Yan-Hong Chen +4Robotic ManipulationVision-Language-Action Models

    National Tsing Hua University · National Taiwan University

  3. Multi-Channel Mitigation of Source-Trust Shortcuts in Fact-Checking RL Agents

    Sep 29, 2026Jianchang Su, Yiwei Yang, Wei ZhangAutomated Fact-CheckingLLM Reliability

    University of Connecticut · University of California, Santa Cruz

  4. Pulseflow: PPG Counterfactual Generation Via Latent Transport

    Sep 27, 2026Hung Manh Pham, Dong Ma, Bin Zhu +1Counterfactual Data AugmentationPhotoplethysmography

    University of Cambridge, United Kingdom

  5. MAGMA-GEN: Validated Recovery Supervision from Ambiguous Failures via Counterfactual Re-Execution

    Sep 17, 2026Loan Bernat, Matthieu Grard, Ariane Herbulot +1Long-Horizon Robotic ManipulationRobot Failure Recovery

    LAAS-GEPETTO · Sil´eane, LAAS-CNRS · LAAS-RAP +2

  6. DiagLoop: A Counterfactual Data Flywheel with Stage-Localized Reinforcement for Diagnostic LLMs

    Aug 4, 2026Jian Zhang, Bingyi Wang, Yizhi LiuRL for Language Model ReasoningCausal Reasoning in Language Models

    Zhejiang University

  7. Static In, Dynamic Out: Counterfactual Action Augmentation for Moving Object Manipulation

    Jul 30, 2026Woo Chul Shin, Zhenyang Chen, Alfred Cueva +5Robot Policy AdaptationVisuomotor Policy Learning

    Georgia Institute of Technology

  8. SPARC Segmentation to Prediction via Affine Regression and Counterfactuals

    Jul 28, 2026Shivani, Subhayan RoyClass-Imbalanced LearningCounterfactual Data Augmentation

  9. Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification

    Jul 23, 2026Kritanu Chattopadhyay, Sayanjit Singha Roy, Soumya ChatterjeeCounterfactual ExplanationsMedical Image Classification

    Department of Mechanical Engineering, National Institute of Technology Durgapur, West Bengal, 713209, India · Department of Electrical Engineering, IIT Kanpur, Uttar Pradesh, 208016, India · Department of Electrical Engineering, National Institute of Technology Durgapur, West Bengal, 713209, India

  10. Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language Models

    Jul 23, 2026Shinhwan Kang, Soo Yong Lee, Jaewon Kim +2Clinical Decision SupportLarge Language Model-Based Recommendation

    KAIST Seoul, South Korea · KAIST Daejeon, South Korea · Korea University Seoul, South Korea

  11. Constraint-Aware Counterfactual Editing for Aspect-Based Sentiment Analysis

    Jul 15, 2026S M Rafiuddin, Vamsi Krishna Pavuluri, Atriya SenCounterfactual EvaluationCounterfactual Explanations

    Department of Computer Science, Oklahoma State University, Stillwater, Oklahoma, USA

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

    Jul 7, 2026Suraj Yadav, Anjaneya Sharma, Siddharth YadavContrastive LearningOOD Generalization

    Indraprastha Institute of Information Technology Delhi

  13. CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness

    Jul 1, 2026Xinyu Jia, Weidong Guo, Wangyuan Zhao +3Algorithmic FairnessMedical Image Synthesis

    College of Biomedical Engineering, Fudan University, Shanghai, China

  14. Counterfactual Residual Data Augmentation for Regression

    Jun 26, 2026Hossein Mohebbi, Oliver Schulte, Ke Li +1Synthetic Tabular Data GenerationCounterfactual Data Augmentation

    University of Waterloo · Vector Institute · Simon Fraser University.

  15. CoCoGEC: Counterfactual Generation for Robust Grammatical Error Correction

    Jun 13, 2026Qianyu Wang, Xiaoman Wang, Yuanyuan Liang +2Grammatical Error CorrectionCounterfactual Data Augmentation

    East China Normal University

  16. LLM Explainability with Counterfactual Chains and Causal Graphs

    Jun 4, 2026Nirit Nussbaum-Hoffer, Nitay Calderon, Liat Ein-Dor +1LLM Reasoning with GraphsLLM Interpretability

    Faculty of Data and Decision Sciences, Technion · IBM Research

  17. Stance Detection in Prediction Markets: Addressing Imbalanced Trader Commentary via Counterfactual Augmentation and Market Context

    May 27, 2026Thomas MbriceClass-Imbalanced LearningStance Detection

    Department of Computer Science Stony Brook University

  18. TypedCSIP: Typed Counterfactual Pretraining for Chinese Legislative Conflict Classification

    May 25, 2026Yao LiuLegal NLPClassification

    Chengdu University of Technology, Leshan, China

  19. When Rule Violations Are Rare: Chimera Training for Logical Anomaly Detection

    May 25, 2026Alejandro Ascarate, Leo Lebrat, Rodrigo Santa Cruz +2Counterfactual Data AugmentationAnomaly Detection

    School of Electrical Engineering and Robotics, Faculty of Engineering, −Queensland University of Technology, Brisbane, Queensland, Australia

  20. Learning More from Less: Exploiting Counterfactuals for Data-Efficient Chart Understanding

    May 11, 2026Jianzhu Bao, Haozhen Zhang, Kuicai Dong +5Data VisualizationVLM Adaptation

    1Nanyang Technological University · 2Aumovio Singapore Pte. Ltd.

  21. Verifiable Counterfactual Supervision for Process Reward Models

    May 4, 2026Yinghui Chi, Yuanhong WangProcess Reward ModelsProcess Supervision

    Jilin University

  22. Counterfactual Modeling with Fine-Tuned LLMs for Health Intervention Design and Sensor Data Augmentation

    Jan 21, 2026Shovito Barua Soumma, Asiful Arefeen, Stephanie M. Carpenter +2Counterfactual ExplanationsLLM Fine-Tuning

    College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA. · School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85281, USA. · School of Nutritional Sciences and Wellness, University of Arizona, Tucson, AZ 85721, USA.

  23. Error-Driven Scene Editing for 3D Grounding in Large Language Models

    Nov 18, 2025Yue Zhang, Zun Wang, Han Lin +53D Scene Editing3D Spatial Reasoning

    UNC Chapel Hill · University of Michigan · Google Research

  24. Did Models Learn Sufficiently? Attribution-Guided Training via Subset-Selected Counterfactual Augmentation

    Nov 15, 2025Yannan Chen, Ruoyu Chen, Wei Wang +6Adversarial RobustnessOOD Generalization

    School of Cyber Science and Technology, Sun Yat-Sen University, Guangdong Province, China · Institute of Perception, PC Laboratory, Guangdong Province, China · University of Chinese Academy of Sciences, Beijing, China +3