Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Wenxuan, Zhai, Zijie, Shen, Yunhang, Cao, Shaosheng, Zhao, Fei, Xu, Xiangfeng, Ye, Zheyu, Hu, Yao, Lin, Shaohui |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
by: Huang, Wenxuan, et al.
Published: (2025)
by: Huang, Wenxuan, et al.
Published: (2025)
LLaVA-RadZ: Can Multimodal Large Language Models Effectively Tackle Zero-shot Radiology Recognition?
by: Li, Bangyan, et al.
Published: (2025)
by: Li, Bangyan, et al.
Published: (2025)
Spec-LLaVA: Accelerating Vision-Language Models with Dynamic Tree-Based Speculative Decoding
by: Huo, Mingxiao, et al.
Published: (2025)
by: Huo, Mingxiao, et al.
Published: (2025)
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token
by: Zhang, Shaolei, et al.
Published: (2025)
by: Zhang, Shaolei, et al.
Published: (2025)
LLaVA-Critic: Learning to Evaluate Multimodal Models
by: Xiong, Tianyi, et al.
Published: (2024)
by: Xiong, Tianyi, et al.
Published: (2024)
AVG-LLaVA: An Efficient Large Multimodal Model with Adaptive Visual Granularity
by: Lan, Zhibin, et al.
Published: (2024)
by: Lan, Zhibin, et al.
Published: (2024)
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
by: Shang, Yuzhang, et al.
Published: (2024)
by: Shang, Yuzhang, et al.
Published: (2024)
TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings
by: Yan, Dawei, et al.
Published: (2024)
by: Yan, Dawei, et al.
Published: (2024)
ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models
by: Ye, Xubing, et al.
Published: (2024)
by: Ye, Xubing, et al.
Published: (2024)
Cosmos-LLaVA: Chatting with the Visual Cosmos-LLaVA: Görselle Sohbet Etmek
by: Zeer, Ahmed, et al.
Published: (2024)
by: Zeer, Ahmed, et al.
Published: (2024)
WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image
by: Liang, Yuci, et al.
Published: (2024)
by: Liang, Yuci, et al.
Published: (2024)
X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment
by: Shin, Dongjae, et al.
Published: (2024)
by: Shin, Dongjae, et al.
Published: (2024)
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant
by: Sun, Guohao, et al.
Published: (2024)
by: Sun, Guohao, et al.
Published: (2024)
Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models
by: Cao, Meng, et al.
Published: (2024)
by: Cao, Meng, et al.
Published: (2024)
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
by: Lin, Bin, et al.
Published: (2024)
by: Lin, Bin, et al.
Published: (2024)
LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models
by: Zheng, Pengcheng, et al.
Published: (2026)
by: Zheng, Pengcheng, et al.
Published: (2026)
LLaVAC: Fine-tuning LLaVA as a Multimodal Sentiment Classifier
by: Chay-intr, T., et al.
Published: (2025)
by: Chay-intr, T., et al.
Published: (2025)
Amharic LLaMA and LLaVA: Multimodal LLMs for Low Resource Languages
by: Andersland, Michael
Published: (2024)
by: Andersland, Michael
Published: (2024)
LLaVA-LE: Large Language-and-Vision Assistant for Lunar Exploration
by: Inal, Gokce, et al.
Published: (2026)
by: Inal, Gokce, et al.
Published: (2026)
HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model
by: Guo, Haiyang, et al.
Published: (2025)
by: Guo, Haiyang, et al.
Published: (2025)
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
by: Shi, Wenhao, et al.
Published: (2024)
by: Shi, Wenhao, et al.
Published: (2024)
LLaVA-OneVision: Easy Visual Task Transfer
by: Li, Bo, et al.
Published: (2024)
by: Li, Bo, et al.
Published: (2024)
LLaVA-Ultra: Large Chinese Language and Vision Assistant for Ultrasound
by: Guo, Xuechen, et al.
Published: (2024)
by: Guo, Xuechen, et al.
Published: (2024)
LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation
by: Shu, Fangxun, et al.
Published: (2024)
by: Shu, Fangxun, et al.
Published: (2024)
Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models
by: Zhang, Yi-Fan, et al.
Published: (2024)
by: Zhang, Yi-Fan, et al.
Published: (2024)
LLaVA-KD: A Framework of Distilling Multimodal Large Language Models
by: Cai, Yuxuan, et al.
Published: (2024)
by: Cai, Yuxuan, et al.
Published: (2024)
LLaVA-MR: Large Language-and-Vision Assistant for Video Moment Retrieval
by: Lu, Weiheng, et al.
Published: (2024)
by: Lu, Weiheng, et al.
Published: (2024)
Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs
by: Caffagni, Davide, et al.
Published: (2024)
by: Caffagni, Davide, et al.
Published: (2024)
MC-LLaVA: Multi-Concept Personalized Vision-Language Model
by: An, Ruichuan, et al.
Published: (2025)
by: An, Ruichuan, et al.
Published: (2025)
MC-LLaVA: Multi-Concept Personalized Vision-Language Model
by: An, Ruichuan, et al.
Published: (2024)
by: An, Ruichuan, et al.
Published: (2024)
LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description
by: Jin, Yizhang, et al.
Published: (2024)
by: Jin, Yizhang, et al.
Published: (2024)
Delta-LLaVA: Base-then-Specialize Alignment for Token-Efficient Vision-Language Models
by: Zamini, Mohamad, et al.
Published: (2025)
by: Zamini, Mohamad, et al.
Published: (2025)
Why do LLaVA Vision-Language Models Reply to Images in English?
by: Hinck, Musashi, et al.
Published: (2024)
by: Hinck, Musashi, et al.
Published: (2024)
Agri-LLaVA: Knowledge-Infused Large Multimodal Assistant on Agricultural Pests and Diseases
by: Wang, Liqiong, et al.
Published: (2024)
by: Wang, Liqiong, et al.
Published: (2024)
LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training
by: An, Xiang, et al.
Published: (2025)
by: An, Xiang, et al.
Published: (2025)
LLaVA-c: Continual Improved Visual Instruction Tuning
by: Liu, Wenzhuo, et al.
Published: (2025)
by: Liu, Wenzhuo, et al.
Published: (2025)
LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models
by: Zhao, Hengyuan, et al.
Published: (2025)
by: Zhao, Hengyuan, et al.
Published: (2025)
ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
by: Cai, Mu, et al.
Published: (2023)
by: Cai, Mu, et al.
Published: (2023)
LLaVA-NeuMT: Selective Layer-Neuron Modulation for Efficient Multilingual Multimodal Translation
by: Wei, Jingxuan, et al.
Published: (2025)
by: Wei, Jingxuan, et al.
Published: (2025)
DF-LLaVA: Unlocking MLLMs for Synthetic Image Detection via Knowledge Injection and Conflict-Driven Self-Reflection
by: Shen, Zhuokang, et al.
Published: (2025)
by: Shen, Zhuokang, et al.
Published: (2025)
Similar Items
-
Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
by: Huang, Wenxuan, et al.
Published: (2025) -
LLaVA-RadZ: Can Multimodal Large Language Models Effectively Tackle Zero-shot Radiology Recognition?
by: Li, Bangyan, et al.
Published: (2025) -
Spec-LLaVA: Accelerating Vision-Language Models with Dynamic Tree-Based Speculative Decoding
by: Huo, Mingxiao, et al.
Published: (2025) -
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token
by: Zhang, Shaolei, et al.
Published: (2025) -
LLaVA-Critic: Learning to Evaluate Multimodal Models
by: Xiong, Tianyi, et al.
Published: (2024)