SOTAVerified

Intent Recognition

Papers

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Showing 26–50 of 93 papers

TitleStatusHype
End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematics—0
Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive Texts—0
Gaze-based intention estimation: principles, methodologies, and applications in HRI—0
H_eval: A new hybrid evaluation metric for automatic speech recognition tasks—0
Impact of Stickers on Multimodal Chat Sentiment Analysis and Intent Recognition: A New Task, Dataset and Baseline—0
Incrementalizing RASA's Open-Source Natural Language Understanding Pipeline—0
Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home—0
Integrating Dialog History into End-to-End Spoken Language Understanding Systems—0
Intent Recognition and Unsupervised Slot Identification for Low Resourced Spoken Dialog Systems—0
Intent Recognition in Conversational Recommender Systems—0
Intent Recognition in Doctor-Patient Interviews—0
Iterative Data Programming for Expanding Text Classification Corpora—0
Language-Conditioned Robotic Manipulation with Fast and Slow Thinking—0
LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System—0
Learning User Intent from Action Sequences on Interactive Systems—0
Luganda Speech Intent Recognition for IoT Applications—0
Ask, Fail, Repeat: Meeseeks, an Iterative Feedback Benchmark for LLMs' Multi-turn Instruction-Following Ability—0
Mere account mein kitna balance hai? -- On building voice enabled Banking Services for Multilingual Communities—0
Scholar Name Disambiguation with Search-enhanced LLM Across Language—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
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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