Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding

23 May 2022

Papers citing "Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding"

5 / 5 papers shown

Title
Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey Chen Ling Xujiang Zhao Jiaying Lu Chengyuan Deng Can Zheng ... Chris White Quanquan Gu Jian Pei Carl Yang Liang Zhao ALM 35 129 0 30 May 2023
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5 Chengwei Qin Shafiq Joty CLL 178 99 0 14 Oct 2021
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders Giangiacomo Mercatali André Freitas CoGe DRL 48 23 0 15 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 290 3,906 0 18 Apr 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 261 1,600 0 21 Jan 2020