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Prompt Tuned Embedding Classification for Multi-Label Industry Sector
  Allocation

Prompt Tuned Embedding Classification for Multi-Label Industry Sector Allocation

21 September 2023
V. Buchner
Lele Cao
Jan-Christoph Kalo
Vilhelm von Ehrenheim
    VLM
ArXivPDFHTML

Papers citing "Prompt Tuned Embedding Classification for Multi-Label Industry Sector Allocation"

4 / 4 papers shown
Title
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual
  Understanding With Multilingual Language Models
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models
Lifu Tu
Caiming Xiong
Yingbo Zhou
VLM
AAML
LRM
92
26
0
22 Oct 2022
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,835
0
18 Apr 2021
WARP: Word-level Adversarial ReProgramming
WARP: Word-level Adversarial ReProgramming
Karen Hambardzumyan
Hrant Khachatrian
Jonathan May
AAML
254
341
0
01 Jan 2021
A Theoretical Analysis of the Repetition Problem in Text Generation
A Theoretical Analysis of the Repetition Problem in Text Generation
Z. Fu
Wai Lam
Anthony Man-Cho So
Bei Shi
69
89
0
29 Dec 2020
1