SOTAVerified

Intent Recognition

Papers

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Showing 51–75 of 93 papers

TitleStatusHype
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments—0
Persuasive Dialogue Understanding: the Baselines and Negative Results—0
Preference or Intent? Double Disentangled Collaborative Filtering—0
Robot Intent Recognition Method Based on State Grid Business Office—0
Scholar Name Disambiguation with Search-enhanced LLM Across Language—0
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding—0
SPAgent: Adaptive Task Decomposition and Model Selection for General Video Generation and Editing—0
TECO: Improving Multimodal Intent Recognition with Text Enhancement through Commonsense Knowledge Extraction—0
Template-based Approach to Zero-shot Intent Recognition—0
The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systems—0
TinySQL: A Progressive Text-to-SQL Dataset for Mechanistic Interpretability Research—0
Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems—0
Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition—0
Transformer-Capsule Model for Intent Detection—0
Ultimatum game: regret or fairness?—0
User Intent Recognition and Semantic Cache Optimization-Based Query Processing Framework using CFLIS and MGR-LAU—0
Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Neuro-Symbolic Algorithms—0
Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems—0
Utilisation of open intent recognition models for customer support intent detection—0
Web-API-Based Chatbot Generation with Analysis and Expansion for Training Sentences—0
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems—0
Transferring SLU Models in Novel Domains—0
From Intent Discovery to Recognition with Topic Modeling and Synthetic Data—0
WDMIR: Wavelet-Driven Multimodal Intent Recognition—0
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Chinchilla-70B (few-shot, k=5)Accuracy 92.8—Unverified
2Gopher-280B (few-shot, k=5)Accuracy 88.7—Unverified