SOTAVerified

Intent Recognition

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–93 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
ADMC: Attention-based Diffusion Model for Missing Modalities Feature Completion—0
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference—0
A k-Nearest Neighbor Approach towards Multi-level Sequence Labeling—0
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
Build-a-Bot: Teaching Conversational AI Using a Transformer-Based Intent Recognition and Question Answering Architecture—0
Can Similarity-Based Domain-Ordering Reduce Catastrophic Forgetting for Intent Recognition?—0
CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System—0
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy—0
Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition—0
Contextual Augmented Global Contrast for Multimodal Intent Recognition—0
Conversational Intent Understanding for Passengers in Autonomous Vehicles—0
CrossTalk: Enhancing Communication and Collaboration in Videoconferencing with Intent Recognition from Conversational Speech—0
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System—0
DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder—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