SOTAVerified

Intent Recognition

Papers

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Showing 51–75 of 93 papers

TitleStatusHype
A-MESS: Anchor based Multimodal Embedding with Semantic Synchronization for Multimodal Intent Recognition—0
Analysis and Tuning of a Voice Assistant System for Dysfluent Speech—0
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection—0
Automated hypothesis generation via Evolutionary Abduction—0
Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations—0
Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems—0
Transferring SLU Models in Novel Domains—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
Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method in Multi-Agent Deep Reinforcement Learning—0
Modeling Intent, Dialog Policies and Response Adaptation for Goal-Oriented Interactions—0
Multi-Stage Coarse-to-Fine Contrastive Learning for Conversation Intent Induction—0
"My life is miserable, have to sign 500 autographs everyday": Exposing Humblebragging, the Brags in Disguise—0
Natural Language Sentence Generation from API Specifications—0
NLU for Game-based Learning in Real: Initial Evaluations—0
One System to Rule them All: a Universal Intent Recognition System for Customer Service Chatbots—0
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
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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