Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning
Fuente:
arXiv
Saved in:
| Main Authors: | Ge, Chendi, Wang, Xin, Zhang, Zeyang, Chen, Hong, Fan, Jiapei, Huang, Longtao, Xue, Hui, Zhu, Wenwu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multimodal Instruction Tuning with Conditional Mixture of LoRA
by: Shen, Ying, et al.
Published: (2024)
by: Shen, Ying, et al.
Published: (2024)
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning
by: Gou, Yunhao, et al.
Published: (2023)
by: Gou, Yunhao, et al.
Published: (2023)
LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning
by: Che, Chang, et al.
Published: (2025)
by: Che, Chang, et al.
Published: (2025)
TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts
by: Jeon, Jeimin, et al.
Published: (2026)
by: Jeon, Jeimin, et al.
Published: (2026)
How LoRA Remembers? A Parametric Memory Law for LLM Finetuning
by: Xu, Ziwen, et al.
Published: (2026)
by: Xu, Ziwen, et al.
Published: (2026)
LoRA-Edit: Controllable First-Frame-Guided Video Editing via Mask-Aware LoRA Fine-Tuning
by: Gao, Chenjian, et al.
Published: (2025)
by: Gao, Chenjian, et al.
Published: (2025)
DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
by: Deng, Guanzhi, et al.
Published: (2026)
by: Deng, Guanzhi, et al.
Published: (2026)
Mixture of LoRA Experts
by: Wu, Xun, et al.
Published: (2024)
by: Wu, Xun, et al.
Published: (2024)
MILE: Mixture of Incremental LoRA Experts for Continual Semantic Segmentation across Domains and Modalities
by: Muralidhara, Shishir, et al.
Published: (2026)
by: Muralidhara, Shishir, et al.
Published: (2026)
Hierarchical-Task-Aware Multi-modal Mixture of Incremental LoRA Experts for Embodied Continual Learning
by: Jia, Ziqi, et al.
Published: (2025)
by: Jia, Ziqi, et al.
Published: (2025)
Adaptive Shared Experts with LoRA-Based Mixture of Experts for Multi-Task Learning
by: Yang, Minghao, et al.
Published: (2025)
by: Yang, Minghao, et al.
Published: (2025)
MOLM: Mixture of LoRA Markers
by: Fares, Samar, et al.
Published: (2025)
by: Fares, Samar, et al.
Published: (2025)
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement
by: Bian, Jieming, et al.
Published: (2024)
by: Bian, Jieming, et al.
Published: (2024)
Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Experts
by: Zhu, Chenyang, et al.
Published: (2024)
by: Zhu, Chenyang, et al.
Published: (2024)
LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs
by: Chen, Shaoxiang, et al.
Published: (2024)
by: Chen, Shaoxiang, et al.
Published: (2024)
LoRA of Change: Learning to Generate LoRA for the Editing Instruction from A Single Before-After Image Pair
by: Song, Xue, et al.
Published: (2024)
by: Song, Xue, et al.
Published: (2024)
MLAE: Masked LoRA Experts for Visual Parameter-Efficient Fine-Tuning
by: Wang, Junjie, et al.
Published: (2024)
by: Wang, Junjie, et al.
Published: (2024)
A Novel Trustworthy Video Summarization Algorithm Through a Mixture of LoRA Experts
by: Du, Wenzhuo, et al.
Published: (2025)
by: Du, Wenzhuo, et al.
Published: (2025)
NP-LoRA: Null Space Projection for Subject-Style LoRA Fusion
by: Chen, Chuheng, et al.
Published: (2025)
by: Chen, Chuheng, et al.
Published: (2025)
Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts
by: Xu, Haolei, et al.
Published: (2026)
by: Xu, Haolei, et al.
Published: (2026)
Vision as LoRA
by: Wang, Han, et al.
Published: (2025)
by: Wang, Han, et al.
Published: (2025)
LoRA-Edge: Tensor-Train-Assisted LoRA for Practical CNN Fine-Tuning on Edge Devices
by: Kwak, Hyunseok, et al.
Published: (2025)
by: Kwak, Hyunseok, et al.
Published: (2025)
Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts
by: Ji, Zhong, et al.
Published: (2025)
by: Ji, Zhong, et al.
Published: (2025)
StrLoRA: Towards Streaming Continual Visual Instruction Tuning for MLLMs
by: Che, Chang, et al.
Published: (2026)
by: Che, Chang, et al.
Published: (2026)
ACE-LoRA: Adaptive Orthogonal Decoupling for Continual Image Editing
by: Liu, Yuehao, et al.
Published: (2026)
by: Liu, Yuehao, et al.
Published: (2026)
Ortho-Hydra: Orthogonalized Experts for DiT LoRA
by: Ji, Seunghyun
Published: (2026)
by: Ji, Seunghyun
Published: (2026)
In-Context LoRA for Diffusion Transformers
by: Huang, Lianghua, et al.
Published: (2024)
by: Huang, Lianghua, et al.
Published: (2024)
Sparse Spectral LoRA: Routed Experts for Medical VLMs
by: Manzari, Omid Nejati, et al.
Published: (2026)
by: Manzari, Omid Nejati, et al.
Published: (2026)
Deep Generative Continual Learning using Functional LoRA: FunLoRA
by: Enescu, Victor, et al.
Published: (2025)
by: Enescu, Victor, et al.
Published: (2025)
LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion
by: Zhang, Yisu, et al.
Published: (2025)
by: Zhang, Yisu, et al.
Published: (2025)
TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision
by: Zhuang, Shaobin, et al.
Published: (2025)
by: Zhuang, Shaobin, et al.
Published: (2025)
DAC-LoRA: Dynamic Adversarial Curriculum for Efficient and Robust Few-Shot Adaptation
by: Umrajkar, Ved
Published: (2025)
by: Umrajkar, Ved
Published: (2025)
Towards Multimodal Graph Large Language Model
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
TC-LoRA: Temporally Modulated Conditional LoRA for Adaptive Diffusion Control
by: Cho, Minkyoung, et al.
Published: (2025)
by: Cho, Minkyoung, et al.
Published: (2025)
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
by: Fan, Chenghao, et al.
Published: (2025)
by: Fan, Chenghao, et al.
Published: (2025)
MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts
by: Li, Dengchun, et al.
Published: (2024)
by: Li, Dengchun, et al.
Published: (2024)
ID-LoRA: Identity-Driven Audio-Video Personalization with In-Context LoRA
by: Dahan, Aviad, et al.
Published: (2026)
by: Dahan, Aviad, et al.
Published: (2026)
Meta-LoRA: Meta-Learning LoRA Components for Domain-Aware ID Personalization
by: Topal, Barış Batuhan, et al.
Published: (2025)
by: Topal, Barış Batuhan, et al.
Published: (2025)
CA-LoRA: Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation
by: Park, Minho, et al.
Published: (2025)
by: Park, Minho, et al.
Published: (2025)
LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration
by: Ai, Yuang, et al.
Published: (2024)
by: Ai, Yuang, et al.
Published: (2024)
Similar Items
-
Multimodal Instruction Tuning with Conditional Mixture of LoRA
by: Shen, Ying, et al.
Published: (2024) -
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning
by: Gou, Yunhao, et al.
Published: (2023) -
LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning
by: Che, Chang, et al.
Published: (2025) -
TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts
by: Jeon, Jeimin, et al.
Published: (2026) -
How LoRA Remembers? A Parametric Memory Law for LLM Finetuning
by: Xu, Ziwen, et al.
Published: (2026)