Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models

7 March 2022

Papers citing "Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models"

6 / 6 papers shown

Title
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models Chengzhengxu Li Xiaoming Liu Zhaohan Zhang Yichen Wang Chen Liu Y. Lan Chao Shen 35 2 0 15 Jun 2024
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models Yukang Chen Shengju Qian Haotian Tang Xin Lai Zhijian Liu Song Han Jiaya Jia 26 150 0 21 Sep 2023
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 236 780 0 14 Oct 2021
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning Runxin Xu Fuli Luo Zhiyuan Zhang Chuanqi Tan Baobao Chang Songfang Huang Fei Huang LRM 136 177 0 13 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020