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Dynamic Semantic Matching and Aggregation Network for Few-shot Intent
  Detection

Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection

6 October 2020
Hoang Nguyen
Chenwei Zhang
Congying Xia
Philip S. Yu
ArXivPDFHTML

Papers citing "Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection"

6 / 6 papers shown
Title
Prompting with Phonemes: Enhancing LLMs' Multilinguality for Non-Latin Script Languages
Prompting with Phonemes: Enhancing LLMs' Multilinguality for Non-Latin Script Languages
Hoang Nguyen
Khyati Mahajan
Vikas Yadav
Philip S. Yu
Masoud Hashemi
Rishabh Maheshwary
Rishabh Maheshwary
57
0
0
04 Nov 2024
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine
  Chain-of-Thought Prompting for Multi-domain NLU Tasks
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks
Hoang Nguyen
Ye Liu
Chenwei Zhang
Tao Zhang
Philip S. Yu
LRM
26
13
0
23 Oct 2023
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text
  Classification
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification
Jianhai Zhang
M. Maimaiti
Xing Gao
Yuanhang Zheng
Ji Zhang
23
9
0
11 Apr 2022
Exploring the Limits of Natural Language Inference Based Setup for
  Few-Shot Intent Detection
Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection
Ayush Kumar
Vijit Malik
Jithendra Vepa
31
1
0
14 Dec 2021
Incremental Few-shot Text Classification with Multi-round New Classes:
  Formulation, Dataset and System
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
Congyin Xia
Wenpeng Yin
Yihao Feng
Philip Yu
CLL
VLM
27
51
0
24 Apr 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
466
11,715
0
09 Mar 2017
1