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Fine-tuning Pre-trained Language Models for Few-shot Intent Detection:
  Supervised Pre-training and Isotropization

Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization

15 May 2022
Haode Zhang
Haowen Liang
Yuwei Zhang
Li-Ming Zhan
Xiao-Ming Wu
Xiaolei Lu
Albert Y. S. Lam
ArXivPDFHTML

Papers citing "Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization"

19 / 19 papers shown
Title
LANID: LLM-assisted New Intent Discovery
LANID: LLM-assisted New Intent Discovery
Lu Fan
Jiashu Pu
Rongsheng Zhang
Xiao-Ming Wu
55
1
0
31 Mar 2025
Understanding Layer Significance in LLM Alignment
Understanding Layer Significance in LLM Alignment
Guangyuan Shi
Zexin Lu
Xiaoyu Dong
Wenlong Zhang
Xuanyu Zhang
Yujie Feng
Xiao-Ming Wu
48
2
0
23 Oct 2024
Diversity-grounded Channel Prototypical Learning for Out-of-Distribution
  Intent Detection
Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detection
Bo Liu
Liming Zhan
Yujie Feng
Zexin Lu
Chengqiang Xie
Lei Xue
Albert Y. S. Lam
Xiao-Ming Wu
OODD
28
1
0
17 Sep 2024
Practical token pruning for foundation models in few-shot conversational
  virtual assistant systems
Practical token pruning for foundation models in few-shot conversational virtual assistant systems
Haode Qi
Cheng Qian
Jian Ni
Pratyush Singh
Reza Fazeli
Gengyu Wang
Zhongzheng Shu
Eric Wayne
Juergen Bross
20
0
0
21 Aug 2024
UniFashion: A Unified Vision-Language Model for Multimodal Fashion
  Retrieval and Generation
UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation
Xiangyu Zhao
Yuehan Zhang
Wenlong Zhang
X. Wu
36
4
0
21 Aug 2024
Minimizing PLM-Based Few-Shot Intent Detectors
Minimizing PLM-Based Few-Shot Intent Detectors
Haode Zhang
Xiao-Ming Wu
Albert Y. S. Lam
VLM
30
0
0
13 Jul 2024
Can Your Model Tell a Negation from an Implicature? Unravelling
  Challenges With Intent Encoders
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders
Yuwei Zhang
Siffi Singh
Sailik Sengupta
Igor Shalyminov
Hang Su
Hwanjun Song
Saab Mansour
32
2
0
07 Mar 2024
RSVP: Customer Intent Detection via Agent Response Contrastive and
  Generative Pre-Training
RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training
Yu-Chien Tang
Wei-Yao Wang
An-Zi Yen
Wenjie Peng
26
1
0
15 Oct 2023
Low-rank Adaptation of Large Language Model Rescoring for
  Parameter-Efficient Speech Recognition
Low-rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition
Yu Yu
Chao-Han Huck Yang
J. Kolehmainen
Prashanth Gurunath Shivakumar
Yile Gu
...
Denis Filimonov
Shalini Ghosh
A. Stolcke
Ariya Rastrow
I. Bulyko
29
8
0
26 Sep 2023
All Labels Together: Low-shot Intent Detection with an Efficient Label
  Semantic Encoding Paradigm
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm
Jiangshu Du
Congying Xia
Wenpeng Yin
Tingting Liang
Philip S. Yu
VLM
24
0
0
07 Sep 2023
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs.
  Continual Pre-training
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training
Haode Zhang
Haowen Liang
Li-Ming Zhan
Xiao-Ming Wu
Albert Y. S. Lam
VLM
16
8
0
08 Jun 2023
Language Models are Causal Knowledge Extractors for Zero-shot Video
  Question Answering
Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering
Hung-Ting Su
Yulei Niu
Xudong Lin
Winston H. Hsu
Shih-Fu Chang
VGen
ELM
21
6
0
07 Apr 2023
QAID: Question Answering Inspired Few-shot Intent Detection
QAID: Question Answering Inspired Few-shot Intent Detection
Asaf Yehudai
Matan Vetzler
Y. Mass
Koren Lazar
Doron Cohen
Boaz Carmeli
10
7
0
02 Mar 2023
The Devil is in the Details: On Models and Training Regimes for Few-Shot
  Intent Classification
The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification
Mohsen Mesgar
Thy Thy Tran
Goran Glavas
Iryna Gurevych
6
3
0
12 Oct 2022
Parameter-Efficient and Student-Friendly Knowledge Distillation
Parameter-Efficient and Student-Friendly Knowledge Distillation
Jun Rao
Xv Meng
Liang Ding
Shuhan Qi
Dacheng Tao
31
46
0
28 May 2022
Effectiveness of Pre-training for Few-shot Intent Classification
Effectiveness of Pre-training for Few-shot Intent Classification
Haode Zhang
Yuwei Zhang
Li-Ming Zhan
Jiaxin Chen
Guangyuan Shi
Xiao-Ming Wu
Albert Y. S. Lam
VLM
72
44
0
13 Sep 2021
How Does Fine-tuning Affect the Geometry of Embedding Space: A Case
  Study on Isotropy
How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy
S. Rajaee
Mohammad Taher Pilehvar
71
20
0
10 Sep 2021
Efficient Intent Detection with Dual Sentence Encoders
Efficient Intent Detection with Dual Sentence Encoders
I. Casanueva
Tadas Temvcinas
D. Gerz
Matthew Henderson
Ivan Vulić
VLM
178
451
0
10 Mar 2020
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
281
11,681
0
09 Mar 2017
1