Residual Prompt Tuning: Improving Prompt Tuning with Residual
Reparameterization

Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization

6 May 2023

Anastasia Razdaibiedina

Madian Khabsa

Jimmy Ba

Amjad Almahairi

Papers citing "Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization"

10 / 10 papers shown

Title
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients Yezhen Wang Zhouhao Yang Brian K Chen Fanyi Pu Bo-wen Li Tianyu Gao Kenji Kawaguchi 41 0 0 03 May 2025
PaCA: Partial Connection Adaptation for Efficient Fine-Tuning Sunghyeon Woo Sol Namkung Sunwoo Lee Inho Jeong Beomseok Kim Dongsuk Jeon 33 0 0 28 Feb 2025
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Reza Akbarian Bafghi Carden Bagwell Avinash Ravichandran Ashish Shrivastava M. Raissi 46 0 0 28 Jan 2025
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba Masakazu Yoshimura Teruaki Hayashi Yota Maeda Mamba 84 2 0 06 Nov 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning Yibo Yang Xiaojie Li Zhongzhu Zhou S. Song Jianlong Wu Liqiang Nie Bernard Ghanem 45 6 0 07 Jun 2024
Decomposed Prompt Tuning via Low-Rank Reparameterization Yao Xiao Lu Xu Jiaxi Li Wei Lu Xiaoli Li VLM 13 6 0 16 Oct 2023
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
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 236 805 0 14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,843 0 18 Apr 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,453 0 23 Jan 2020