Towards Anytime Fine-tuning: Continually Pre-trained Language Models
with Hypernetwork Prompt

Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt

19 October 2023

Defu Lian

Papers citing "Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt"

7 / 7 papers shown

Title
Prompt-Consistency Image Generation (PCIG): A Unified Framework Integrating LLMs, Knowledge Graphs, and Controllable Diffusion Models Yichen Sun Zhixuan Chu Zhan Qin Kui Ren DiffM 30 0 0 24 Jun 2024
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks Zixuan Ke Hu Xu Bing-Quan Liu CLL 222 83 0 06 Dec 2021
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Matthew Cer VLM LRM 137 277 0 15 Oct 2021
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5 Chengwei Qin Shafiq R. Joty CLL 170 97 0 14 Oct 2021
Towards Continual Knowledge Learning of Language Models Joel Jang Seonghyeon Ye Sohee Yang Joongbo Shin Janghoon Han Gyeonghun Kim Stanley Jungkyu Choi Minjoon Seo CLL KELM 222 150 0 07 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,835 0 18 Apr 2021
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 241 1,444 0 18 Mar 2020