SOTAVerified

Intent Classification

Intent Classification is the task of correctly labeling a natural language utterance from a predetermined set of intents

Source: Multi-Layer Ensembling Techniques for Multilingual Intent Classification

Papers

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Showing 61–70 of 344 papers

TitleStatusHype
Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production—0
Predicting User Intents and Musical Attributes from Music Discovery ConversationsCode0
Improved intent classification based on context information using a windows-based approach—0
Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch—0
A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasksCode0
Intent Classification for Bank Chatbots through LLM Fine-Tuning—0
Efficacy of Synthetic Data as a Benchmark—0
Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detection—0
Uddessho: An Extensive Benchmark Dataset for Multimodal Author Intent Classification in Low-Resource Bangla LanguageCode0
LLM-based Weak Supervision Framework for Query Intent Classification in Video Search—0
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All datasetsSLURPMASSIVEKUAKE-QICORCAS-I

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TDT 0-8Accuracy (%)90.07—Unverified
2Partially Fine-tuned HuBERTAccuracy (%)87.51—Unverified
3Multi-SLURPAccuracy (%)78.33—Unverified
4Finstreder (Conformer)Accuracy (%)53.11—Unverified
5Finstreder (Quartznet)Accuracy (%)43.15—Unverified
#ModelMetricClaimedVerifiedStatus
1mT5 Base (encoder-only)Intent Accuracy86.1—Unverified
2mT5 Base (text-to-text)Intent Accuracy85.3—Unverified
3XLM-R BaseIntent Accuracy85.1—Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-wwm-ext-baseAccuracy85.5—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT (query + URL)F1-score0.77—Unverified