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Intent Classification
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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
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Reward-Driven Interaction: Enhancing Proactive Dialogue Agents through User Satisfaction Prediction
Intent Classification on Low-Resource Languages with Query Similarity Search
In a Few Words: Comparing Weak Supervision and LLMs for Short Query Intent Classification
Efficient Intent-Based Filtering for Multi-Party Conversations Using Knowledge Distillation from LLMs
ConvoGen: Enhancing Conversational AI with Synthetic Data: A Multi-Agent Approach
PythonPal: Enhancing Online Programming Education through Chatbot-Driven Personalized Feedback
TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency
A Preliminary Exploration with GPT-4o Voice Mode
Exploring Robustness of Multilingual LLMs on Real-World Noisy Data
Joint Automatic Speech Recognition And Structure Learning For Better Speech Understanding
Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding
Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case Study
Dynamic Label Name Refinement for Few-Shot Dialogue Intent Classification
Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary
Intent-Aware Dialogue Generation and Multi-Task Contrastive Learning for Multi-Turn Intent Classification
Predicting User Intents and Musical Attributes from Music Discovery Conversations
Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production
Improved intent classification based on context information using a windows-based approach
Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch
A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks
Intent Classification for Bank Chatbots through LLM Fine-Tuning
Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions
Efficacy of Synthetic Data as a Benchmark
Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detection
Uddessho: An Extensive Benchmark Dataset for Multimodal Author Intent Classification in Low-Resource Bangla Language
LLM-based Weak Supervision Framework for Query Intent Classification in Video Search
LLMs Will Always Hallucinate, and We Need to Live With This
Practical token pruning for foundation models in few-shot conversational virtual assistant systems
A Semi-supervised Multi-channel Graph Convolutional Network for Query Classification in E-commerce
Exploring Description-Augmented Dataless Intent Classification
Why do you cite? An investigation on citation intents and decision-making classification processes
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learning
Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors
DASB -- Discrete Audio and Speech Benchmark
An Adapter-Based Unified Model for Multiple Spoken Language Processing Tasks
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