Text Classification

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Overview

Text classification maps documents, sentences, or messages to categories, from broad topics and sentiment to specialized labels such as legal outcomes, medical findings, and safety risks. Common approaches range from TF-IDF with linear classifiers to fine-tuned transformer encoders, large language model prompting, retrieval, and methods that use label hierarchies, linguistic features, or multimodal evidence. Current work also focuses on learning with few labels, class imbalance, multilingual data, and efficient systems that combine automated predictions with human review. A central challenge is whether strong benchmark scores hold up on new domains, languages, long-tail classes, and ambiguous examples, while keeping costs and errors manageable.

Latest papers

CardsList

226 papers31 papers in the last four weeks, up 63% on the four weeks before. 0.2% of all new papers.

  1. REGLAT at ArGuard Shared Tasks: An Ensemble-Based Model Integrating NER for Harmful Content Detection in Arabic

    Oct 27, 2026Ahmed M. Fetouh, Mariam Labib, Nsrin Ashraf +2Text ClassificationArabic NLP

    Faculty of Computers and Artificial Intelligence, Benha University, Egypt · Computer Engineering, Elsewedy University of Technology, Cairo, Egypt · College of Engineering, Wadi Ad Dwaser, Prince Sattam Bin Abdulaziz University, KSA

  2. From Generation to Scoring: Scaling LLM-Based Semantic Labeling at LinkedIn

    Oct 26, 2026Jian Sheng, Sriram Vasudevan, Sundara Raman Ramachandran +12Efficient Language Model InferenceText Classification

    LinkedIn.

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

    Oct 24, 2026Thomas Kimmeth, Avijit Roy, Vivek SharmaText ClassificationExplainable Text Classification

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

  4. Measure Before You Train: Typed Decision Models vs. a Classical Baseline vs. a Generative LLM for Routing a Personal Multilingual Inbox

    Oct 23, 2026Federico LuccaPersonal AI AgentsLLM Agent Evaluation

    Independent researcher, Trento, Italy

  5. Cost-Aware Abstention for LLM-Based IT Ticket Classification

    Oct 22, 2026Sachin GuptaSelective PredictionText Classification

    Independent Researcher United States

  6. How Well Do Decision Models Transfer to Vietnamese? An Empirical Study of Text Classification

    Oct 22, 2026Phat Huu Ha, Nguyen Xuan Phuc, Nong Nhut Quy +3Zero-Shot Text ClassificationText Classification

    University of Information Technology, Ho Chi Minh City, Vietnam · Vietnam National University HoChiMinh City, Vietnam

  7. Interpretive Variation and Discourse Structure in Detecting Enthymemes in Controversial Political Discourse

    Oct 22, 2026Martial Pastor, Nelleke OostdijkAnnotator DisagreementArgument Mining

    Centre for Language Studies, Radboud University, Nijmegen, The Netherlands

  8. Benchmarking Large Language Models for Detecting Satirical Code-Mixed Sentences

    Oct 21, 2026Răzvan-Alexandru Smădu, Ioana Buhnila, Daniela Tanase +3Code-SwitchingText Classification

    National University of Science and Technology POLITEHNICA Bucharest, Bucharest, Romania · Academy of Romanian Scientists, Bucharest, Romania · Center for Data Science in Humanities, Chosun University, South Korea +3

  9. Signals and Queries: Token-Efficient Agentic Context Discovery

    Oct 21, 2026Yam MarcovitzLLM Agent EfficiencyText Classification

  10. Lightweight Machine Learning for Classifying Disaster-Related Social Media Posts

    Oct 17, 2026Chengjun Jiang, Milena RadenkovicText ClassificationSocial Media Analysis

    School of Computer Science, University of Nottingham

  11. Best of Both Worlds: Fine-Tuned Small Models Complement LLMs for Cost and Performance Benefits

    Oct 16, 2026Shivam Mathur, Sri Harish Popuri, Priya Krishnan Sundararajan +2Text ClassificationLLM Inference Efficiency

    Walmart Inc.

  12. Beyond Surface Cues: Robust LLM-Generated Korean Text Detection

    Oct 16, 2026SungHo Kim, SangKeun LeeAI-Generated Text DetectionRobustness of Machine-Generated Text Detection

    Department of Artificial Intelligence, Korea University, Seoul, South Korea · Department of Computer Science and Engineering, Korea University, Seoul, South Korea

  13. Trajectory-Guided Steering: Mitigating Spurious Feature Bias in Clinical Classification

    Oct 15, 2026Fardin Ahsan Sakib, Ziwei Zhu, Ozlem UzunerDebiased MLLanguage Model Steering

    Department of Computer Science, George Mason University · Department of Information Sciences and Technology, George Mason University

  14. LLM-Based Weak Annotation for Cybersecurity Tweet Classification: A Teacher-Student Framework

    Oct 15, 2026Ferry Afit Kurniawan, Kazushi Okamoto, Koki Karube +2LLM-Assisted AnnotationText Classification

    Department of Informatics, Graduate School of Informatics and Engineering, The University of Electro-Communications 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan

  15. CARE-SD: Explainable Reasoning Architecture for Local SLM Self-Disclosure Analysis in Textual Data

    Oct 15, 2026Aisvarya Adeseye, Adeyemi Adeseye, Mohammad Tahir +1Small Language ModelsExplainable Artificial Intelligence

    Department of Computing, University of Turku, Turku, Finland

  16. Verdict: Encode Once, Decide Many

    Oct 14, 2026Avdhesh Singh Chouhan, Jack PerryAI-Assisted Decision MakingEfficient Language Model Inference

    LEC AI

  17. GENDIS: Gender-Related Discourse and Stance in Multilingual YouTube Comments from India, Kenya, and Nigeria

    Oct 13, 2026Luise Koch, Manuel Tonneau, Niyati Malhotra +5Social Media AnalysisStance Detection

    World Bank · Technical University of Munich · University of Oxford +2

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

    Oct 12, 2026Zeba Afroz, Harsh Vardhan, Md. Shad AkhtarExplainable Text ClassificationCoT Reasoning

    Indraprastha Institute of Information Technology Delhi

  19. UltraBERT: Beyond the Limit of BERT Pre-Training

    Oct 10, 2026Jungwoo Park, Taewhoo Lee, Jaewoo KangLanguage Model PretrainingMasked Language Modeling

    Korea University · AIGEN Sciences · Amazon

  20. Benchmarking Embedding Geometries and Clustering Algorithms for Unsupervised Patent Claim Classification

    Oct 9, 2026Sujith Subramanian, P N Bhargav Teja, Susen Sarkar +1Information RetrievalHyperbolic Representation Learning

    Samsung R&D Institute Bangalore, India

  21. A persistent accuracy ceiling in automated verbal deception detection

    Oct 8, 2026Riccardo Loconte, Jonas Festor, Zane Fatjanova +2Text Classification

    Department of Methodology and Statistics, Tilburg University; Tilburg, Netherlands. · Department of Security and Crime Science, University College London; London, UK.

  22. ProtoSemImage: Image-Valued Prototypes with Deformable Row Alignment for Interpretable Document Classification

    Oct 8, 2026Mohammad Zare, Pirooz ShamsinejadbabakiText ClassificationPrototype-Based Classification

    Artificial Intelligence Lab at AriooBarzan Engineering Team Shiraz, Iran · Department of Computer Engineering and Information Technology Shiraz University of Technology, Shiraz, Iran

  23. PIVOT: Perplexity-Informed KD-to-RL Transition Scheduling for Vertical-Domain Few-Shot Distillation

    Oct 8, 2026Heng Li, Yong Zhang, Ning Cheng +5Few-Shot Text ClassificationAdaptive Knowledge Distillation

    Ping An Technology (Shenzhen) Co., Ltd., China · University of Science and Technology of China

  24. Same Text, Different Prediction: Serving-Context Nondeterminism in Text Classifiers

    Oct 6, 2026Santhosh Kumar Kasa, Siva Rajesh Kasa, Sumit NegiText ClassificationML Reproducibility

    Amazon

  25. How Do People Challenge Racial Stereotypes Online? Counter-Story Detection Across Reddit Communities

    Oct 3, 2026Uma Sushmitha Gunturi, Jimin Mun, Maarten Sap +1Social Media AnalysisComputational Social Science

    IBM · Carnegie Mellon University · University of Colorado Boulder

  26. Evaluating Modeling Approaches for Experience-Level Classification in Job Description

    Oct 3, 2026Celia Liang, Eddie Wu, Shiqi Wang +1ClassificationText Classification

    New York University Computer Science Department

  27. Automatic Evaluation of Mental Health Stigma in Online Communication

    Oct 2, 2026Naomi Baes, Jemima Kang, Nick Haslam +4Text ClassificationLLM Evaluation

    Melbourne School of Psychological Sciences, The University of Melbourne · Department of General and Computational Linguistics, University of Tübingen · School of Computing and Information Systems, The University of Melbourne

  28. Student-Guided Teacher Distillation for Efficient LLM Task Routing: Positioning Against Jev-Style System-1 Classifiers

    Oct 1, 2026Haifeng Wu, Srinivasan Manoharan, Jian Wan +3LLM RoutingText Classification

    PayPal

  29. From Retrieval to Typed Decisions: Calibrated System One Models from Biomedical Sentence Encoders

    Oct 1, 2026Pritam DekaText ClassificationProbability Calibration

    Queen’s University Belfast Belfast, United Kingdom

  30. How Many Labels Does a Language Need? Annotation Budgets and Cross-Lingual Pooling for African-Language Text Classification

    Sep 29, 2026Bhanu Prakash Vangala, Sowmya Guda, Navya VangalaClassificationLow-Resource Language Processing

    University of Missouri · Amar Bio Tech Pvt Ltd