{"total":25,"rows":[{"id":"2205.12914","title":"New Intent Discovery with Pre-training and Contrastive Learning","created":"2022-05-25","cited_by_count":28,"area":null},{"id":"2304.12982","title":"Intent Induction from Conversations for Task-Oriented Dialogue Track at DSTC 11","created":"2023-04-25","cited_by_count":10,"area":null},{"id":"2104.12114","title":"Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing","created":"2021-04-25","cited_by_count":9,"area":null},{"id":"2305.03007","title":"NatCS: Eliciting Natural Customer Support Dialogues","created":"2023-05-04","cited_by_count":5,"area":null},{"id":"2108.12229","title":"ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection","created":"2021-08-27","cited_by_count":4,"area":null},{"id":"2406.15214","title":"Unsupervised Extraction of Dialogue Policies from Conversations","created":"2024-06-21","cited_by_count":3,"area":null},{"id":"2503.23740","title":"LANID: LLM-assisted New Intent Discovery","created":"2025-03-31","cited_by_count":3,"area":null},{"id":"2201.06731","title":"Dialog Intent Induction via Density-based Deep Clustering Ensemble","created":"2022-01-18","cited_by_count":2,"area":null},{"id":"2203.09278","title":"Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss","created":"2022-03-17","cited_by_count":2,"area":null},{"id":"2303.13801","title":"Toward Open-domain Slot Filling via Self-supervised Co-training","created":"2023-03-24","cited_by_count":2,"area":null},{"id":"2605.12645","title":"Training LLMs with Reinforcement Learning for Intent-Aware Personalized Question Answering","created":"2026-05-12","cited_by_count":2,"area":null},{"id":"2201.10588","title":"Convex Polytope Modelling for Unsupervised Derivation of Semantic Structure for Data-efficient Natural Language Understanding","created":"2022-01-25","cited_by_count":1,"area":null},{"id":"2208.09439","title":"Adapting Task-Oriented Dialogue Models for Email Conversations","created":"2022-08-19","cited_by_count":1,"area":null},{"id":"2208.12886","title":"Building the Intent Landscape of Real-World Conversational Corpora with Extractive Question-Answering Transformers","created":"2022-08-26","cited_by_count":1,"area":null},{"id":"2212.02021","title":"Analysis of Utterance Embeddings and Clustering Methods Related to Intent Induction for Task-Oriented Dialogue","created":"2022-12-05","cited_by_count":1,"area":null},{"id":"2303.05034","title":"Multi-Stage Coarse-to-Fine Contrastive Learning for Conversation Intent Induction","created":"2023-03-09","cited_by_count":1,"area":null},{"id":"2307.15410","title":"Towards a Fully Unsupervised Framework for Intent Induction in Customer Support Dialogues","created":"2023-07-28","cited_by_count":1,"area":null},{"id":"2410.14755","title":"Controllable Discovery of Intents: Incremental Deep Clustering Using Semi-Supervised Contrastive Learning","created":"2024-10-18","cited_by_count":1,"area":null},{"id":"2411.02594","title":"A Risk Taxonomy and Reflection Tool for Large Language Model Adoption in Public Health","created":"2024-11-04","cited_by_count":1,"area":null},{"id":"2303.09827","title":"DORIC : Domain Robust Fine-Tuning for Open Intent Clustering through Dependency Parsing","created":"2023-03-17","cited_by_count":0,"area":null},{"id":"2303.13099","title":"Multi-View Zero-Shot Open Intent Induction from Dialogues: Multi Domain Batch and Proxy Gradient Transfer","created":"2023-03-23","cited_by_count":0,"area":null},{"id":"2312.09658","title":"Algorithms for automatic intents extraction and utterances classification for goal-oriented dialogue systems","created":"2023-12-15","cited_by_count":0,"area":null},{"id":"2407.09011","title":"One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learning","created":"2024-07-12","cited_by_count":0,"area":null},{"id":"2410.20219","title":"Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery","created":"2024-10-26","cited_by_count":0,"area":null},{"id":"2512.21715","title":"CATCH: A Controllable Theme Detection Framework with Contextualized Clustering and Hierarchical Generation","created":"2025-12-25","cited_by_count":0,"area":null}],"next_cursor":null}