SOTAVerified

Intent Discovery

Given a set of labelled and unlabelled utterances, the idea is to identify existing (known) intents and potential (new intents) intents. This method can be utilised in conversational system setting.

Papers

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Showing 1–25 of 42 papers

TitleStatusHype
IDAS: Intent Discovery with Abstractive SummarizationCode1
A Hybrid Architecture for Out of Domain Intent Detection and Intent DiscoveryCode1
Z-BERT-A: a zero-shot Pipeline for Unknown Intent detectionCode1
New Intent Discovery with Pre-training and Contrastive LearningCode1
Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive LearningCode1
Intent Mining from past conversations for conversational agentCode1
Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting FrameworkCode0
From Intent Discovery to Recognition with Topic Modeling and Synthetic Data—0
LANID: LLM-assisted New Intent DiscoveryCode0
Dial-In LLM: Human-Aligned LLM-in-the-loop Intent Clustering for Customer Service Dialogues—0
IntentGPT: Few-shot Intent Discovery with Large Language Models—0
KULCQ: An Unsupervised Keyword-based Utterance Level Clustering Quality Metric—0
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents—0
Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent DiscoveryCode0
Assured Automatic Programming via Large Language Models—0
A Survey of Ontology Expansion for Conversational Understanding—0
Controllable Discovery of Intents: Incremental Deep Clustering Using Semi-Supervised Contrastive Learning—0
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive LearningCode0
Towards Real-world Scenario: Imbalanced New Intent DiscoveryCode0
RoNID: New Intent Discovery with Generated-Reliable Labels and Cluster-friendly Representations—0
New Intent Discovery with Attracting and Dispersing Prototype—0
IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery—0
A Diffusion Weighted Graph Framework for New Intent DiscoveryCode0
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent RecognitionCode0
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPTCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1k-PCA + HDBSCANARI74.94—Unverified
#ModelMetricClaimedVerifiedStatus
1k-PCA + HDBSCANARI11.97—Unverified
#ModelMetricClaimedVerifiedStatus
1k-PCA + HDBSCANARI59.23—Unverified