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Mixture of Cluster-conditional LoRA Experts for Vision-language
  Instruction Tuning

Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning

19 December 2023
Yunhao Gou
Zhili Liu
Kai Chen
Lanqing Hong
Hang Xu
Aoxue Li
Dit-Yan Yeung
James T. Kwok
Yu Zhang
    MoE
    MLLM
    VLM
ArXivPDFHTML

Papers citing "Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning"

17 / 17 papers shown
Title
TT-LoRA MoE: Unifying Parameter-Efficient Fine-Tuning and Sparse Mixture-of-Experts
TT-LoRA MoE: Unifying Parameter-Efficient Fine-Tuning and Sparse Mixture-of-Experts
Pradip Kunwar
Minh Vu
Maanak Gupta
Mahmoud Abdelsalam
Manish Bhattarai
MoE
MoMe
37
0
0
29 Apr 2025
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment
Zhili Liu
Yunhao Gou
Kai Chen
Lanqing Hong
Jiahui Gao
...
Yu Zhang
Zhenguo Li
Xin Jiang
Q. Liu
James T. Kwok
MoE
93
9
0
20 Feb 2025
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
Dingkang Yang
Dongling Xiao
Jinjie Wei
Mingcheng Li
Zhaoyu Chen
Ke Li
L. Zhang
HILM
90
3
0
28 Jan 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
Hanwen Zhong
Jiaxin Chen
Yutong Zhang
Di Huang
Yunhong Wang
MoE
37
0
0
12 Jan 2025
ViMoE: An Empirical Study of Designing Vision Mixture-of-Experts
ViMoE: An Empirical Study of Designing Vision Mixture-of-Experts
Xumeng Han
Longhui Wei
Zhiyang Dou
Zipeng Wang
Chenhui Qiang
Xin He
Yingfei Sun
Zhenjun Han
Qi Tian
MoE
27
3
0
21 Oct 2024
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions
Kai Chen
Yunhao Gou
Runhui Huang
Zhili Liu
Daxin Tan
...
Qun Liu
Jun Yao
Lu Hou
Hang Xu
Hang Xu
AuLLM
MLLM
VLM
58
21
0
26 Sep 2024
Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model
Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model
Longrong Yang
Dong Shen
Chaoxiang Cai
Fan Yang
Size Li
Di Zhang
Xi Li
MoE
39
2
0
28 Jun 2024
Towards Modular LLMs by Building and Reusing a Library of LoRAs
Towards Modular LLMs by Building and Reusing a Library of LoRAs
O. Ostapenko
Zhan Su
E. Ponti
Laurent Charlin
Nicolas Le Roux
Matheus Pereira
Lucas Page-Caccia
Alessandro Sordoni
MoMe
27
30
0
18 May 2024
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning
Yanqi Dai
Dong Jing
Nanyi Fei
Zhiwu Lu
Nanyi Fei
Guoxing Yang
Zhiwu Lu
43
2
0
07 Mar 2024
Task-customized Masked AutoEncoder via Mixture of Cluster-conditional
  Experts
Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts
Zhili Liu
Kai Chen
Jianhua Han
Lanqing Hong
Hang Xu
Zhenguo Li
James T. Kwok
MoE
109
19
0
08 Feb 2024
LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts
  in Instruction Finetuning MLLMs
LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs
Shaoxiang Chen
Zequn Jie
Lin Ma
MoE
38
46
0
29 Jan 2024
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with
  Modality Collaboration
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
Qinghao Ye
Haiyang Xu
Jiabo Ye
Mingshi Yan
Anwen Hu
Haowei Liu
Qi Qian
Ji Zhang
Fei Huang
Jingren Zhou
MLLM
VLM
116
367
0
07 Nov 2023
MiniGPT-v2: large language model as a unified interface for
  vision-language multi-task learning
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
Jun Chen
Deyao Zhu
Xiaoqian Shen
Xiang Li
Zechun Liu
Pengchuan Zhang
Raghuraman Krishnamoorthi
Vikas Chandra
Yunyang Xiong
Mohamed Elhoseiny
MLLM
152
280
0
14 Oct 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
244
4,186
0
30 Jan 2023
Learn to Explain: Multimodal Reasoning via Thought Chains for Science
  Question Answering
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Pan Lu
Swaroop Mishra
Tony Xia
Liang Qiu
Kai-Wei Chang
Song-Chun Zhu
Oyvind Tafjord
Peter Clark
A. Kalyan
ELM
ReLM
LRM
198
1,089
0
20 Sep 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
380
4,010
0
28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 2021
1