Explainable Text Classification

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22 papers5 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

  1. Propasafe-Hybrid: A Text-Based Hybrid Propaganda Detection Tool

    Oct 24, 2026Thomas Kimmeth, Avijit Roy, Vivek SharmaPropaganda DetectionText Classification

    John Jay College of Criminal Justice, CUNY New York, NY

  2. Building Auditable AI Text Detectors with Sparse Autoencoders

    Oct 21, 2026Liam Dugan, Callum McDougall, Matthew Denton +3AI-Generated Text DetectionExplainable Text Classification

    University of Pennsylvania · Google DeepMind

  3. NarraSpace: Multimodal Scene-Grounded Evidence for Picture-Description Dementia Classification

    Oct 20, 2026Qingming Li, Ruiyan Sun, Satoshi NakamuraSpeech-Based Dementia DetectionAlzheimer's Disease Classification

    The Chinese University of Hong Kong Shenzhen

  4. Leveraging Mental Models for Human-Centered Explanations: A Systematic Design Approach Illustrated by Explainable Fake Review Identification

    Oct 17, 2026Sidra Naveed, Md Shajalal, Gunnar Stevens +1Explainable Artificial IntelligenceExplainable Text Classification

    University of Siegen, Germany · Hochschule Bonn-Rhein-Sieg

  5. Reasoning for Propaganda Detection via Label-Guided CoT Optimisation

    Oct 12, 2026Zeba Afroz, Harsh Vardhan, Md. Shad AkhtarExplainable Text ClassificationPropaganda Detection

    Indraprastha Institute of Information Technology Delhi

  6. An Explainable DistilBERT-BiLSTM-Attention Framework for Binary and Multi-Class Hate Speech Detection

    Sep 23, 2026Rameesha Zia, Muhammad Shahid Iqbal MalikExplainable Text ClassificationText Classification

    School of Computing Sciences, Pak-Austria Fachhochschule, Institute of Applied Sciences and Technology, Haripur 22620, Pakistan

  7. Explainable Multi-Loss Distillation Framework for Efficient and Interpretable Shrimp Disease Text Classification

    Aug 29, 2026Anh Nguyen Quynh, Khang Nguyen Quoc, Luyl-Da QuachExplainable Text ClassificationText Classification

  8. MIL-BERT: Classification of Arbitrarily Large Text with Performance and Explanatory Guarantees

    Aug 21, 2026John Cadigan, Dayne Freitag, Eric YehExplainable Text ClassificationText Classification

    SRI International

  9. J-Miner: Recovering the Decision Logic of Fine-Tuned LLM Classifiers as Compact Rules

    Aug 17, 2026Yunfan Gao, Xinyi Huang, Tao Sheng +3LLM InterpretabilityInterpretable ML

    Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University · Shanghai Key Laboratory of Data Science, College of Computer Science and Artificial Intelligence, Fudan University · Meituan +1

  10. DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition

    Aug 13, 2026Amogh Joshi, Animesh Mukherjee, Sergey UtyuzhnikovFeature AttributionLLM Interpretability

    IIT Kharagpur, India · University of Manchester, UK

  11. When Explanations Betray Backdoors: Black-Box Auditing for Language Model Classifiers

    Aug 12, 2026Yang Liu, Ran ZouLanguage Model AuditingLLM Backdoor Attacks

    Department of Statistics and Operations Research, University of North Carolina at Chapel Hill · Department of Statistics, University of California, Irvine

  12. Automated Multilabel Mpox Research Classification with Explainable Transformer Models

    Jul 29, 2026Tanjim Taharat AurpaExplainable Text ClassificationMulti-Label Classification

    Department of Data Science and Engineering, University of Frontier Technology, Bangladesh (UFTB)

  13. Structured Prompt Optimization Meets Reinforcement Learning for Global and Local Interpretability over Complex Text

    May 27, 2026Tianyang Zhou, Wenbo Chen, Pierre Jinghong Liang +1Explainable Text ClassificationLLM Interpretability

    1Carnegie Mellon University · 2Amazon

  14. Show, Don't TELL: Explainable AI-Generated Text Detection

    May 27, 2026Aldan Creo, Suraj RanganathExplainable Artificial IntelligenceAI-Generated Text Detection

    School of Computing, Information and Data Sciences University of California, San Diego United States of America

  15. ExTax: Explainable Disinformation Detection via Persuasion, Emotion, and Narrative Role Taxonomies

    May 26, 2026Shang Luo, Yingguang Yang, Zhenchen Sun +8Fake News DetectionExplainable Artificial Intelligence

    Peking University · University of Science and Technology of China · North China University of Science and Technology +6

  16. Interpretable Discriminative Text Representations via Agreement and Label Disentanglement

    May 20, 2026Tong Wang, Yiqing Xu, Leo Yang YangDisentangled Representation LearningInterpretable ML

    School of Management Yale University New Haven, CT, US, 06511 · Department of Accountancy, Economics and Finance Hong Kong Baptist University Kowloon, Hong Kong SAR

  17. Lost in Interpretation: The Plausibility-Faithfulness Trade-off in Cross-Lingual Explanations

    May 19, 2026Somnath Banerjee, Pranav Jha, Rima Hazra +1Language Model AuditingCross-Lingual Reasoning in Language Models

    Indian Institute of Technology Kharagpur · TCG Crest · National University of Singapore

  18. ToxiTrace: Gradient-Aligned Training for Explainable Chinese Toxicity Detection

    Apr 14, 2026Boyang Li, Hongzhe Shou, Yuanyuan Liang +2Toxicity DetectionExplainable Text Classification

    School of Data Science and Engineering, East China Normal University · School of International Chinese Studies, East China Normal University

  19. Fighting AI with AI: AI-Agent Augmented DNS Blocking of LLM Services during Student Evaluations

    Mar 20, 2026Yonas Kassa, James Bonacci, Ping WangExplainable Text ClassificationAcademic Integrity

    School of Data Intelligence and Technology, Robert Morris University, Pittsburgh, USA.

  20. NOTAI.AI: Explainable Detection of Machine-Generated Text via Curvature and Feature Attribution

    Mar 5, 2026Oleksandr Marchenko Breneur, Adelaide Danilov, Aria Nourbakhsh +1AI-Generated Text DetectionExplainable Text Classification

    Department of Computer Science, Faculty of Science, Technology and Medicine, University of Luxembourg

  21. What You Read is What You Classify: Highlighting Attributions to Text and Text-Like Inputs

    Feb 27, 2026Daniel S. Berman, Brian Merritt, Stanley Ta +4Explainable Text ClassificationExplainable Artificial Intelligence

    Johns Hopkins Applied Physics Laboratory, 11100 Johns Hopkins Rd., Laurel, MD 20723, USA. · Current affiliation: Google DeepMind, 14–18 Handyside Street, London, N1C 4DN, United Kingdom

  22. Reasoning for Hierarchical Text Classification: The Case of Patents

    Oct 8, 2025Lekang Jiang, Wenjun Sun, Stephan GoetzHierarchical ClassificationText Classification

    University of Cambridge · National Science Library, Chinese Academy of Sciences · Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences