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Continual Instruction Tuning for Large Multimodal Models

Continual Instruction Tuning for Large Multimodal Models

27 November 2023
Jinghan He
Haiyun Guo
Ming Tang
Jinqiao Wang
    VLM
    MLLM
    CLL
    KELM
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Papers citing "Continual Instruction Tuning for Large Multimodal Models"

24 / 24 papers shown
Title
SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning
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
63
0
0
05 May 2025
LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models
LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models
Hengyuan Zhao
Ziqin Wang
Qixin Sun
Kaiyou Song
Yilin Li
Xiaolin Hu
Qingpei Guo
Si Liu
KELM
CLL
MoE
65
0
0
27 Mar 2025
HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model
HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model
Haiyang Guo
Fanhu Zeng
Ziwei Xiang
Fei Zhu
Da-Han Wang
Xu-Yao Zhang
Cheng-Lin Liu
43
1
0
17 Mar 2025
SEEKR: Selective Attention-Guided Knowledge Retention for Continual
  Learning of Large Language Models
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models
Jinghan He
Haiyun Guo
Kuan Zhu
Zihan Zhao
Ming Tang
J. T. Wang
KELM
26
1
0
09 Nov 2024
Exploring Continual Fine-Tuning for Enhancing Language Ability in Large
  Language Model
Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model
Divyanshu Aggarwal
Sankarshan Damle
Navin Goyal
Satya Lokam
Sunayana Sitaram
CLL
18
0
0
21 Oct 2024
Adapt-$\infty$: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection
Adapt-∞\infty∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection
A. Maharana
Jaehong Yoon
Tianlong Chen
Mohit Bansal
27
0
0
14 Oct 2024
From Generalist to Specialist: Adapting Vision Language Models via
  Task-Specific Visual Instruction Tuning
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning
Yang Bai
Yang Zhou
Jun Zhou
Rick Siow Mong Goh
Daniel Ting
Yong Liu
VLM
44
0
0
09 Oct 2024
ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large
  Multimodal Models
ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large Multimodal Models
Fanhu Zeng
Fei Zhu
Haiyang Guo
Xu-Yao Zhang
Cheng-Lin Liu
VLM
CLL
21
8
0
08 Oct 2024
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey
Dianzhi Yu
Xinni Zhang
Yankai Chen
Aiwei Liu
Yifei Zhang
Philip S. Yu
Irwin King
VLM
CLL
39
9
0
07 Oct 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
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
Continual Learning of Large Language Models: A Comprehensive Survey
Continual Learning of Large Language Models: A Comprehensive Survey
Haizhou Shi
Zihao Xu
Hengyi Wang
Weiyi Qin
Wenyuan Wang
Yibin Wang
Zifeng Wang
Sayna Ebrahimi
Hao Wang
CLL
KELM
LRM
37
62
0
25 Apr 2024
Just Say the Name: Online Continual Learning with Category Names Only
  via Data Generation
Just Say the Name: Online Continual Learning with Category Names Only via Data Generation
Minhyuk Seo
Diganta Misra
Seongwon Cho
Minjae Lee
Jonghyun Choi
CLL
33
6
0
16 Mar 2024
CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large
  Language Model
CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model
Cheng Chen
Junchen Zhu
Xu Luo
Hengtao Shen
Lianli Gao
Jingkuan Song
CLL
35
12
0
13 Mar 2024
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large
  Language Models
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models
Didi Zhu
Zhongyi Sun
Zexi Li
Tao Shen
Ke Yan
Shouhong Ding
Kun Kuang
Chao Wu
CLL
KELM
MoMe
50
22
0
19 Feb 2024
MM-LLMs: Recent Advances in MultiModal Large Language Models
MM-LLMs: Recent Advances in MultiModal Large Language Models
Duzhen Zhang
Yahan Yu
Jiahua Dong
Chenxing Li
Dan Su
Chenhui Chu
Dong Yu
OffRL
LRM
37
173
0
24 Jan 2024
Beyond Anti-Forgetting: Multimodal Continual Instruction Tuning with
  Positive Forward Transfer
Beyond Anti-Forgetting: Multimodal Continual Instruction Tuning with Positive Forward Transfer
Junhao Zheng
Qianli Ma
Zhen Liu
Binquan Wu
Hu Feng
CLL
26
14
0
17 Jan 2024
CITB: A Benchmark for Continual Instruction Tuning
CITB: A Benchmark for Continual Instruction Tuning
Zihan Zhang
Meng Fang
Ling-Hao Chen
Mohammad-Reza Namazi-Rad
ALM
CLL
39
20
0
23 Oct 2023
Investigating the Catastrophic Forgetting in Multimodal Large Language
  Models
Investigating the Catastrophic Forgetting in Multimodal Large Language Models
Yuexiang Zhai
Shengbang Tong
Xiao Li
Mu Cai
Qing Qu
Yong Jae Lee
Y. Ma
VLM
MLLM
CLL
72
75
0
19 Sep 2023
Multimodal Foundation Models: From Specialists to General-Purpose
  Assistants
Multimodal Foundation Models: From Specialists to General-Purpose Assistants
Chunyuan Li
Zhe Gan
Zhengyuan Yang
Jianwei Yang
Linjie Li
Lijuan Wang
Jianfeng Gao
MLLM
110
221
0
18 Sep 2023
Continual Diffusion: Continual Customization of Text-to-Image Diffusion
  with C-LoRA
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
123
94
0
12 Apr 2023
Preventing Zero-Shot Transfer Degradation in Continual Learning of
  Vision-Language Models
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
Zangwei Zheng
Mingyu Ma
Kai Wang
Ziheng Qin
Xiangyu Yue
Yang You
CLL
VLM
94
67
0
12 Mar 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
247
4,186
0
30 Jan 2023
Task Formulation Matters When Learning Continually: A Case Study in
  Visual Question Answering
Task Formulation Matters When Learning Continually: A Case Study in Visual Question Answering
Mavina Nikandrou
Lu Yu
Alessandro Suglia
Ioannis Konstas
Verena Rieser
OOD
28
5
0
30 Sep 2022
Fine-tuned Language Models are Continual Learners
Fine-tuned Language Models are Continual Learners
Thomas Scialom
Tuhin Chakrabarty
Smaranda Muresan
CLL
LRM
134
116
0
24 May 2022
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