Improving Multimodal Large Language Models Using Continual Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Srivastava, Shikhar, Harun, Md Yousuf, Shrestha, Robik, Kanan, Christopher |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Overcoming the Stability Gap in Continual Learning
by: Harun, Md Yousuf, et al.
Published: (2023)
by: Harun, Md Yousuf, et al.
Published: (2023)
GRASP: A Rehearsal Policy for Efficient Online Continual Learning
by: Harun, Md Yousuf, et al.
Published: (2023)
by: Harun, Md Yousuf, et al.
Published: (2023)
A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization
by: Harun, Md Yousuf, et al.
Published: (2025)
by: Harun, Md Yousuf, et al.
Published: (2025)
Are Bias Mitigation Techniques for Deep Learning Effective?
by: Shrestha, Robik, et al.
Published: (2021)
by: Shrestha, Robik, et al.
Published: (2021)
Visual Grounding Methods for VQA are Working for the Wrong Reasons!
by: Shrestha, Robik, et al.
Published: (2020)
by: Shrestha, Robik, et al.
Published: (2020)
BloomVQA: Assessing Hierarchical Multi-modal Comprehension
by: Gong, Yunye, et al.
Published: (2023)
by: Gong, Yunye, et al.
Published: (2023)
Revisiting Multi-Modal LLM Evaluation
by: Lu, Jian, et al.
Published: (2024)
by: Lu, Jian, et al.
Published: (2024)
What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
by: Harun, Md Yousuf, et al.
Published: (2024)
by: Harun, Md Yousuf, et al.
Published: (2024)
Unlocking ImageNet's Multi-Object Nature: Automated Large-Scale Multilabel Annotation
by: Chen, Junyu, et al.
Published: (2026)
by: Chen, Junyu, et al.
Published: (2026)
Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models
by: Gan, Woody Haosheng, et al.
Published: (2025)
by: Gan, Woody Haosheng, et al.
Published: (2025)
MapIQ: Evaluating Multimodal Large Language Models for Map Question Answering
by: Srivastava, Varun, et al.
Published: (2025)
by: Srivastava, Varun, et al.
Published: (2025)
LaVy: Vietnamese Multimodal Large Language Model
by: Tran, Chi, et al.
Published: (2024)
by: Tran, Chi, et al.
Published: (2024)
On Domain-Adaptive Post-Training for Multimodal Large Language Models
by: Cheng, Daixuan, et al.
Published: (2024)
by: Cheng, Daixuan, et al.
Published: (2024)
Evaluating and Advancing Multimodal Large Language Models in Perception Ability Lens
by: Chen, Feng, et al.
Published: (2024)
by: Chen, Feng, et al.
Published: (2024)
Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models
by: Xu, Xiao, et al.
Published: (2024)
by: Xu, Xiao, et al.
Published: (2024)
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
by: Ye, Qinghao, et al.
Published: (2023)
by: Ye, Qinghao, et al.
Published: (2023)
Improving Automatic VQA Evaluation Using Large Language Models
by: Mañas, Oscar, et al.
Published: (2023)
by: Mañas, Oscar, et al.
Published: (2023)
MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models
by: Xia, Peng, et al.
Published: (2024)
by: Xia, Peng, et al.
Published: (2024)
Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models
by: Zhang, Huatian, et al.
Published: (2026)
by: Zhang, Huatian, et al.
Published: (2026)
LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language Models
by: Zhu, Mengdan, et al.
Published: (2024)
by: Zhu, Mengdan, et al.
Published: (2024)
Logic-RAG: Augmenting Large Multimodal Models with Visual-Spatial Knowledge for Road Scene Understanding
by: Kabir, Imran, et al.
Published: (2025)
by: Kabir, Imran, et al.
Published: (2025)
ImageChain: Advancing Sequential Image-to-Text Reasoning in Multimodal Large Language Models
by: Villegas, Danae Sánchez, et al.
Published: (2025)
by: Villegas, Danae Sánchez, et al.
Published: (2025)
FairRAG: Fair Human Generation via Fair Retrieval Augmentation
by: Shrestha, Robik, et al.
Published: (2024)
by: Shrestha, Robik, et al.
Published: (2024)
Diagnosing Shoulder Disorders Using Multimodal Large Language Models and Consumer-Grade Cameras
by: Hong, Jindong, et al.
Published: (2025)
by: Hong, Jindong, et al.
Published: (2025)
Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models
by: Zheng, Kening, et al.
Published: (2024)
by: Zheng, Kening, et al.
Published: (2024)
A Survey on Multimodal Large Language Models
by: Yin, Shukang, et al.
Published: (2023)
by: Yin, Shukang, et al.
Published: (2023)
Multilingual OCR-Aware Fine-Tuning and Prompt-Guided Chain-of-Thought Reasoning for Multimodal Large Language Models
by: Xu, Qinwu, et al.
Published: (2026)
by: Xu, Qinwu, et al.
Published: (2026)
Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future Directions
by: Amini, Hadi, et al.
Published: (2025)
by: Amini, Hadi, et al.
Published: (2025)
Modality-Inconsistent Continual Learning of Multimodal Large Language Models
by: Pian, Weiguo, et al.
Published: (2024)
by: Pian, Weiguo, et al.
Published: (2024)
Multimodal Latent Language Modeling with Next-Token Diffusion
by: Sun, Yutao, et al.
Published: (2024)
by: Sun, Yutao, et al.
Published: (2024)
Multimodal Language Models Cannot Spot Spatial Inconsistencies
by: Khangaonkar, Om, et al.
Published: (2026)
by: Khangaonkar, Om, et al.
Published: (2026)
Visual Question Decomposition on Multimodal Large Language Models
by: Zhang, Haowei, et al.
Published: (2024)
by: Zhang, Haowei, et al.
Published: (2024)
Jailbreaking Attack against Multimodal Large Language Model
by: Niu, Zhenxing, et al.
Published: (2024)
by: Niu, Zhenxing, et al.
Published: (2024)
Woodpecker: Hallucination Correction for Multimodal Large Language Models
by: Yin, Shukang, et al.
Published: (2023)
by: Yin, Shukang, et al.
Published: (2023)
A Practitioner's Guide to Continual Multimodal Pretraining
by: Roth, Karsten, et al.
Published: (2024)
by: Roth, Karsten, et al.
Published: (2024)
LiME: Lightweight Mixture of Experts for Efficient Multimodal Multi-task Learning
by: Kowsher, Md, et al.
Published: (2026)
by: Kowsher, Md, et al.
Published: (2026)
C2-Evo: Co-Evolving Multimodal Data and Model for Self-Improving Reasoning
by: Chen, Xiuwei, et al.
Published: (2025)
by: Chen, Xiuwei, et al.
Published: (2025)
Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models
by: Khanal, Bidur, et al.
Published: (2025)
by: Khanal, Bidur, et al.
Published: (2025)
Ovis: Structural Embedding Alignment for Multimodal Large Language Model
by: Lu, Shiyin, et al.
Published: (2024)
by: Lu, Shiyin, et al.
Published: (2024)
Towards Visual Text Grounding of Multimodal Large Language Model
by: Li, Ming, et al.
Published: (2025)
by: Li, Ming, et al.
Published: (2025)
Similar Items
-
Overcoming the Stability Gap in Continual Learning
by: Harun, Md Yousuf, et al.
Published: (2023) -
GRASP: A Rehearsal Policy for Efficient Online Continual Learning
by: Harun, Md Yousuf, et al.
Published: (2023) -
A Good Start Matters: Enhancing Continual Learning with Data-Driven Weight Initialization
by: Harun, Md Yousuf, et al.
Published: (2025) -
Are Bias Mitigation Techniques for Deep Learning Effective?
by: Shrestha, Robik, et al.
Published: (2021) -
Visual Grounding Methods for VQA are Working for the Wrong Reasons!
by: Shrestha, Robik, et al.
Published: (2020)