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Intent Classification

500 papers

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Papers

A Survey on Multi-modal Intent Recognition: Recent Advances and New Frontiers EMNLP 2025 Audio Query Handling System with Integrated Expert Models and Contextual Understanding EMNLP 2025 AutoIntent: AutoML for Text Classification EMNLP 2025 Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models ICLR 2025 CARE-STaR: Constraint-aware Self-taught Reasoner ACL 2025 Causally Modeling the Linguistic and Social Factors that Predict Email Response NAACL 2025 Clear Up Confusion: Iterative Differential Generation for Fine-grained Intent Detection with Contrastive Feedback COLING 2025 CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions ACL 2025 Contextual ASR Error Handling with LLMs Augmentation for Goal-Oriented Conversational AI COLING 2025 CUFE@VarDial 2025 NorSID: Multilingual BERT for Norwegian Dialect Identification and Intent Detection COLING 2025 DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life ICLR 2025 Detecting Conversational Mental Manipulation with Intent-Aware Prompting COLING 2025 Divide-Solve-Combine: An Interpretable and Accurate Prompting Framework for Zero-shot Multi-Intent Detection AAAI 2025 Do LLMs Understand Dialogues? A Case Study on Dialogue Acts ACL 2025 DroidCall: A Dataset for LLM-powered Android Intent Invocation EMNLP 2025 DSRAG: A Double-Stream Retrieval-Augmented Generation Framework for Countless Intent Detection NAACL 2025 ECLM: Entity Level Language Model for Spoken Language Understanding with Chain of Intent ACL 2025 Efficient Out-of-Scope Detection in Dialogue Systems via Uncertainty-Driven LLM Routing ACL 2025 EgoSpeak: Learning When to Speak for Egocentric Conversational Agents in the Wild NAACL 2025 Enhancing Dialectal Arabic Intent Detection through Cross-Dialect Multilingual Input Augmentation COLING 2025 Enhancing Emotional Support Conversations: A Framework for Dynamic Knowledge Filtering and Persona Extraction COLING 2025 Exploring Conversational Adaptability: Assessing the Proficiency of Large Language Models in Dynamic Alignment with Updated User Intent AAAI 2025 Exploring LLMs for Predicting Tutor Strategy and Student Outcomes in Dialogues ACL 2025 Findings of the VarDial Evaluation Campaign 2025: The NorSID Shared Task on Norwegian Slot, Intent and Dialect Identification COLING 2025 Fine-Tuning Medium-Scale LLMs for Joint Intent Classification and Slot Filling: A Data-Efficient and Cost-Effective Solution for SMEs COLING 2025