Orthogonal Subspace Learning for Language Model Continual Learning

Orthogonal Subspace Learning for Language Model Continual Learning

22 October 2023

Xuanjing Huang

Papers citing "Orthogonal Subspace Learning for Language Model Continual Learning"

8 / 8 papers shown

Title
SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning Jinpeng Chen Runmin Cong Yuzhi Zhao Hongzheng Yang Guangneng Hu H. Ip Sam Kwong CLL KELM 27 0 0 05 May 2025
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings Guoqing Hu An Zhang Shuo Liu Zhibo Cai Xun Yang X. Wang 14 0 0 27 Apr 2025
Compositional Subspace Representation Fine-tuning for Adaptive Large Language Models Andy Zhou MoMe 65 0 0 13 Mar 2025
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA James Smith Yen-Chang Hsu Lingyu Zhang Ting Hua Z. Kira Yilin Shen Hongxia Jin DiffM 99 62 0 12 Apr 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 270 8,441 0 04 Mar 2022
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5 Chengwei Qin Shafiq R. Joty CLL 140 76 0 14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 254 2,999 0 18 Apr 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 267 6,003 0 20 Apr 2018