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

Philip S. Yu

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 Hoang Nguyen Khyati Mahajan Vikas Yadav Philip S. Yu Masoud Hashemi Rishabh Maheshwary Rishabh Maheshwary 54 0 0 04 Nov 2024
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 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 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 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 Chelsea Finn Pieter Abbeel Sergey Levine OOD 457 11,715 0 09 Mar 2017