Intent Classification

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Overview

Intent classification studies how to infer what a person wants from text, speech, dialogue, or behavioral signals, often as part of task-oriented systems that also identify entities through slot filling. Common approaches include fine-tuned Transformers, embedding-based classifiers, synthetic-data augmentation, and zero-shot or few-shot large language models; benchmarks such as CLINC150, Banking77, and MASSIVE test performance across domains and languages. Research also addresses out-of-scope queries, combinations of intents, noisy or multilingual input, and changes in intent across conversation turns. A central challenge is making systems reliable beyond familiar benchmarks: broad language understanding must be balanced with calibration, long-tail coverage, robustness to wording and distribution shifts, and accurate tracking of users’ current goals.

Latest papers

CardsList

60 papers5 papers in the last four weeks, up 25% on the four weeks before. 0.0% of all new papers.

  1. DeepOpen: Decision-Oriented Intent Classification on BANKING77 and CLINC150

    Oct 22, 2026Shuang Song, Muhammad Luqman Naseem, Zhongqiao YuanIntent Classification

    Shenzhen Depei Open Source Data Technology Co., Ltd. Shenzhen, China

  2. From High Recall to High Utility: Dataset-Adaptive Post-Processing of LLM-Generated Customer Intents

    Oct 6, 2026Mahesh Viswanathan, Joan Rossello, Leticia Fernandes +1Semantic ClusteringLLM Information Extraction

    Cisco Systems, Inc., San Jose, CA, USA

  3. You Changed Your Mind, The Model Didn't: Demystifying Intent in Multi-Turn Dialogue

    Oct 5, 2026Junle Chen, Wei Chen, Zhengjun Huang +5Intent ClassificationInstruction Following

    HKUST · Tencent

  4. The Hidden States Cookbook: A Large-Scale Ablation Study for Noise-Robust Conversational Intent Classification in Industry

    Oct 4, 2026Bogdan Bogachov, Nikita Letov, Yaoyao Fiona ZhaoIntent ClassificationLanguage Model Robustness

    Department of Mechanical Engineering, McGill University, Montréal, Québec, Canada · Axya Inc., Montréal, Québec, Canada

  5. Understanding Clinical Cognitive Dialogues Using Large Language Models

    Sep 28, 2026Vishalakshi Arumugam, Dan Schumacher, Veronica Rammouz +4Intent ClassificationMulti-Turn Dialogue Evaluation

    College of AI, Cyber and Computing University of Texas at San Antonio, USA

  6. Signed Lexical Confidence for Risk-Calibrated Intent Routing

    Sep 24, 2026Yezhou Cheng, Zehua Yang, Bojun LinSelective PredictionConfidence Estimation in Language Models

    University of Wisconsin–Madison · Independent Researcher · Pinterest Inc.

  7. Talk to Me, Jarvis: An Open-Source Edge-Deployable Voice Assistant Framework for Autonomous Racecars

    Sep 17, 2026Daniel Henel, Frederik Werner, Alexander Langmann +1On-Device Language Model InferenceLanguage Model-Based Control

    D. Henel, A. Langmann and J. Betz are with the Professorship of Autonomous Vehicle Systems, TUM School of Engineering and Design, Technical University of Munich, 85748 Garching, Germany; Munich Institute of Robotics and Machine Intelligence (MIRMI) · F. Werner is with the Institute of Automotive Technology, TUM School of Engineering and Design, Technical University of Munich, 85748 Garching, Germany; Munich Institute of Robotics and Machine Intelligence (MIRMI)

  8. A Confidence-Aware Multimodal Fusion Framework for Industrial Human-Robot Collaboration

    Sep 9, 2026Xinyu Liu, Qiqi Dong, Boya Jia +2Intent ClassificationHuman-Robot Collaboration

  9. Few-Shot Out of Domain Intent Detection with Covariance Corrected Mahalanobis Distance

    Sep 1, 2026Jayasimha Talur, Oleg Smirnov, Paul MissaultMahalanobis DistanceIntent Classification

    Amazon

  10. Leveraging Turn-taking Dynamics for Intent Recognition in Multi-party Conversations

    Aug 28, 2026Galo Castillo-López, Alexis Lombard, Gaël de Chalendar +1Intent Classification

    Université Paris-Saclay, CEA, List, Palaiseau, France

  11. VizAnchor: Decoding Manipulation Intent from Tampering Visualizations via Dual-Anchor Reasoning

    Aug 25, 2026Xiaotian Zhang, Huayuan Ye, Haiyang Zhang +3Data VisualizationChart Understanding

    School of Data Science and Engineering, East China Normal University, Shanghai, China · Division of Emerging Interdisciplinary Areas, The Hong Kong University of Science and Technology, Hong Kong, China · School of Computer Science and Technology, East China Normal University, Shanghai, China

  12. Aslema at NADI 2026: Data Augmentation for Intent Recognition and Slot Filling

    Aug 19, 2026Tajwaar Shafiq, Hunzalah Hassan Bhatti, Firoj Alam +1Spoken Language UnderstandingSynthetic Data Augmentation

    Qatar Computing Research Institute, HBKU, Qatar

  13. Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discourse

    Aug 11, 2026Zhenyan Zheng, Yunyao Zhang, Junxi Sheng +2Stance DetectionIntent Classification

    Huazhong University of Science and Technology

  14. Mind the Gap: A Dual Knowledge Graph Framework for Unified Multi-task User Intent Inference

    Aug 7, 2026Tzu-Cheng Peng, Chien Chin Chen, Chih-Hao Ku +1KG Entity AlignmentKG Construction

    National Taiwan University · National Taiwan University, Taiwan · University of North Texas +3

  15. Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes

    Aug 3, 2026Nan Chen, Zhouhao Yang, Soufiane HayouZero-Shot LearningLLM Evaluation

    Department of Applied Mathematics and Statistics Johns Hopkins University

  16. Evaluating and Pricing Advertisements in AI-Generated Responses

    Jul 30, 2026John L. Turner-Smith, Zimeng Huang, Yuhan Fu +2Mechanism DesignOnline Advertising

    Carnegie Mellon University, Pittsburgh, PA, USA · College of AI, Tsinghua University, Beijing, China

  17. Selecting Open-Weight Language Models for Zero-Shot Intent Classification: A Systematic Evaluation of 41 Models

    Jul 29, 2026Parishruthi Ganesh, Gerry Dozier, Cheryl SealsLLM EvaluationZero-Shot Text Classification

    Department of Computer Science and Software Engineering Auburn University Auburn, Alabama, USA

  18. BioSentinel at EXIST 2026: Soft-Label Optimization with XLM-RoBERTa for Sexism Intent Classification in Memes

    Jul 27, 2026Chandru Munisamy, Karthikeya Raguveer, Alapan KuilaSoft-Label LearningIntent Classification

    Indian Institute of Information Technology, Design and Manufacturing, Kurnool, India

  19. Retrieval-Augmented Generation in LLMs for Mental Health: Quantifying the Incremental Contribution of Retrieval Within a Layered Safety Architecture

    Jul 17, 2026Anand Gupta, Akshat Surolia, Shubham Mishra +2Retrieval-Augmented GenerationIntent Classification

    Wysa Inc., Boston, MA, United States

  20. AHEAD: Anticipatory Hand-Driven Teleoperation via Human Intent Prediction

    Jul 16, 2026Seok Joon Kim, Junho Lee, Federica Spinola +2Robot TeleoperationIntent Classification

    Georgia Institute of Technology. · Neuromeka Ltd. · INRIA. +1

  21. Enjoy Your Talk: A Human-Centered Benchmark for Multi-Turn Dialogue with Decoupled User Simulation, Target Modeling, and Judging

    Jul 11, 2026Jinglan Gong, Jiefan Lu, Hewei Guo +5Language Model Generation EvaluationPersona Consistency

    SenseTime Research · University of Science and Technology of China · Tsinghua University

  22. A Multi-cluster Boundary Learning Method for Out-of-Scope Intent Detection via MiniLM Embedding

    Jul 8, 2026Yihong Xu, Mingyu Kang, Linyuan LüIntent ClassificationOOD Detection

    University of Science and Technology of China, Hefei, China

  23. From Interaction to Intent: Inferring User Objectives from Provenance Logs

    Jul 5, 2026Steffen Holter, Tobias Stähle, Arpit Narechania +1Data VisualizationIntent Classification

    ETH Zurich · Zurich, Switzerland · The Hong Kong University of Science and Technology +1

  24. IntentTune: Using user demand and personalization to resolve "unknown" query intents for e-commerce search

    Jul 1, 2026Rachith Aiyappa, Ishita Khan, Chester Palen-Michel +4E-Commerce SearchIntent Classification

    eBay Inc., USA

  25. Exploring Motivations for Algorithm Mention in the Domain of Natural Language Processing: A Deep Learning Approach

    Jun 29, 2026Yuzhuo Wang, Yi Xiang, Chengzhi ZhangIntent Classification

    1. School of Management, Anhui University, Hefei, 230601, China · 2. School of Economics and Management, Nanjing University of Science and Technology, Nanjing

  26. From Clicks to Intent: Cross-Platform Session Embeddings with LLM-Distilled Taxonomy for Financial Services Recommendations

    Jun 24, 2026Dianjing Fan, Yao Li, Kyaw Hpone Myint +4Sequential RecommendationRepresentation Learning

    Capital One, McLean, VA, USA · Capital One, New York, NY, USA · Capital One, Boston, MA, USA

  27. End-to-End Voice Intent Recognition for Spontaneous Human-Drone Interaction with Naive Users

    Jun 19, 2026Allan Henry, Solange Rossato, Christian Graff +2Aerial RoboticsIntent Classification

    GIPSA-COPERNIC, GETALP, LPNC · 1LIG, Univ. Grenoble Alpes, Grenoble, France · 2LPNC, Univ. Grenoble Alpes, Grenoble, France +4

  28. The Significance of Style Diversity in Annotation-Free Synthetic Data Generation

    Jun 18, 2026Zahra Abbasiantaeb, Zeno Belligoli, Omar Essam +1Synthetic Data GenerationControllable Text Generation

    University of Amsterdam, Amsterdam, The Netherlands · Booking.com, Amsterdam, The Netherlands

  29. DroneShield-AI: A Multi-Modal Sensor Fusion Framework for Real-Time Autonomous Drone Threat Detection, Behavioral Intent Classification, and Swarm Intelligence in Contested Airspace

    Jun 10, 2026Marius BayizereGraph Neural NetworksUAV Detection

    Independent Researcher, Kigali, Rwanda

  30. Intention Driven Identification of In-Possession Match Phases in Association Football through Temporal Graph Learning

    Jun 8, 2026Yuesen Li, Daniel LinkTemporal Action SegmentationTemporal GNNs

    Technical University of Munich, Experimental Exercise Science, Munich, Germany · Technical University of Munich, Munich Data Science Institute, Munich, Germany