Are Bigger Encoders Always Better in Vision Large Models?
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Li, Bozhou, Liang, Hao, Meng, Zimo, Zhang, Wentao |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models
par: Li, Bozhou, et autres
Publié: (2025)
par: Li, Bozhou, et autres
Publié: (2025)
SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
par: Liu, Zheng, et autres
Publié: (2024)
par: Liu, Zheng, et autres
Publié: (2024)
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
par: Mei, Kangfu, et autres
Publié: (2024)
par: Mei, Kangfu, et autres
Publié: (2024)
Beyond the Vision Encoder: Identifying and Mitigating Spatial Bias in Large Vision-Language Models
par: Zhu, Yingjie, et autres
Publié: (2025)
par: Zhu, Yingjie, et autres
Publié: (2025)
Is Bigger Always Better? Efficiency Analysis in Resource-Constrained Small Object Detection
par: Mbobda-Kuate, Kwame, et autres
Publié: (2026)
par: Mbobda-Kuate, Kwame, et autres
Publié: (2026)
VEGAS: Mitigating Hallucinations in Large Vision-Language Models via Vision-Encoder Attention Guided Adaptive Steering
par: Wang, Zihu, et autres
Publié: (2025)
par: Wang, Zihu, et autres
Publié: (2025)
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
par: Gao, Peng, et autres
Publié: (2021)
par: Gao, Peng, et autres
Publié: (2021)
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
par: Sun, Weigao, et autres
Publié: (2025)
par: Sun, Weigao, et autres
Publié: (2025)
A Survey of Multimodal Large Language Model from A Data-centric Perspective
par: Bai, Tianyi, et autres
Publié: (2024)
par: Bai, Tianyi, et autres
Publié: (2024)
MathScape: Benchmarking Multimodal Large Language Models in Real-World Mathematical Contexts
par: Liang, Hao, et autres
Publié: (2024)
par: Liang, Hao, et autres
Publié: (2024)
EVQAScore: A Fine-grained Metric for Video Question Answering Data Quality Evaluation
par: Liang, Hao, et autres
Publié: (2024)
par: Liang, Hao, et autres
Publié: (2024)
Fine-Grained Evaluation of Large Vision-Language Models in Autonomous Driving
par: Li, Yue, et autres
Publié: (2025)
par: Li, Yue, et autres
Publié: (2025)
Diving into Mitigating Hallucinations from a Vision Perspective for Large Vision-Language Models
par: Wang, Weihang, et autres
Publié: (2025)
par: Wang, Weihang, et autres
Publié: (2025)
GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder
par: Cho, Seunghyuk, et autres
Publié: (2025)
par: Cho, Seunghyuk, et autres
Publié: (2025)
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment
par: Li, Lei, et autres
Publié: (2024)
par: Li, Lei, et autres
Publié: (2024)
Vision Language Models Are Not (Yet) Spelling Correctors
par: Liang, Junhong, et autres
Publié: (2025)
par: Liang, Junhong, et autres
Publié: (2025)
BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models
par: Ye, Dingqiang, et autres
Publié: (2025)
par: Ye, Dingqiang, et autres
Publié: (2025)
Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models
par: Bachu, Saketh, et autres
Publié: (2024)
par: Bachu, Saketh, et autres
Publié: (2024)
An Examination of the Compositionality of Large Generative Vision-Language Models
par: Ma, Teli, et autres
Publié: (2023)
par: Ma, Teli, et autres
Publié: (2023)
NPHardEval4V: Dynamic Evaluation of Large Vision-Language Models with Effects of Vision
par: Li, Xiang, et autres
Publié: (2024)
par: Li, Xiang, et autres
Publié: (2024)
Rethinking the Mixture of Vision Encoders Paradigm for Enhanced Visual Understanding in Multimodal LLMs
par: Azadani, Mozhgan Nasr, et autres
Publié: (2025)
par: Azadani, Mozhgan Nasr, et autres
Publié: (2025)
Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations
par: Lu, Yifan, et autres
Publié: (2025)
par: Lu, Yifan, et autres
Publié: (2025)
MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems
par: Zhu, Zifeng, et autres
Publié: (2024)
par: Zhu, Zifeng, et autres
Publié: (2024)
Visual In-Context Learning for Large Vision-Language Models
par: Zhou, Yucheng, et autres
Publié: (2024)
par: Zhou, Yucheng, et autres
Publié: (2024)
Can We Predict Performance of Large Models across Vision-Language Tasks?
par: Zhao, Qinyu, et autres
Publié: (2024)
par: Zhao, Qinyu, et autres
Publié: (2024)
Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models
par: Jiang, Lei, et autres
Publié: (2025)
par: Jiang, Lei, et autres
Publié: (2025)
Can Large Vision-Language Models Understand Multimodal Sarcasm?
par: Wang, Xinyu, et autres
Publié: (2025)
par: Wang, Xinyu, et autres
Publié: (2025)
A Unified Hallucination Mitigation Framework for Large Vision-Language Models
par: Chang, Yue, et autres
Publié: (2024)
par: Chang, Yue, et autres
Publié: (2024)
Revisiting Compositionality in Dual-Encoder Vision-Language Models: The Role of Inference
par: Miranda, Imanol, et autres
Publié: (2026)
par: Miranda, Imanol, et autres
Publié: (2026)
Multimodal Reasoning for Science: Technical Report and 1st Place Solution to the ICML 2025 SeePhys Challenge
par: Liang, Hao, et autres
Publié: (2025)
par: Liang, Hao, et autres
Publié: (2025)
Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance
par: Zhao, Haozhe, et autres
Publié: (2024)
par: Zhao, Haozhe, et autres
Publié: (2024)
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?
par: Zhao, Qinyu, et autres
Publié: (2024)
par: Zhao, Qinyu, et autres
Publié: (2024)
Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language Models
par: Liang, Qiao, et autres
Publié: (2025)
par: Liang, Qiao, et autres
Publié: (2025)
VScan: Rethinking Visual Token Reduction for Efficient Large Vision-Language Models
par: Zhang, Ce, et autres
Publié: (2025)
par: Zhang, Ce, et autres
Publié: (2025)
Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models
par: Lu, Jiaying, et autres
Publié: (2023)
par: Lu, Jiaying, et autres
Publié: (2023)
HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models
par: Wang, Xiao, et autres
Publié: (2025)
par: Wang, Xiao, et autres
Publié: (2025)
KeyVideoLLM: Towards Large-scale Video Keyframe Selection
par: Liang, Hao, et autres
Publié: (2024)
par: Liang, Hao, et autres
Publié: (2024)
LMAD: Integrated End-to-End Vision-Language Model for Explainable Autonomous Driving
par: Song, Nan, et autres
Publié: (2025)
par: Song, Nan, et autres
Publié: (2025)
Intriguing Properties of Large Language and Vision Models
par: Lee, Young-Jun, et autres
Publié: (2024)
par: Lee, Young-Jun, et autres
Publié: (2024)
VisionZip: Longer is Better but Not Necessary in Vision Language Models
par: Yang, Senqiao, et autres
Publié: (2024)
par: Yang, Senqiao, et autres
Publié: (2024)
Documents similaires
-
ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models
par: Li, Bozhou, et autres
Publié: (2025) -
SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
par: Liu, Zheng, et autres
Publié: (2024) -
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
par: Mei, Kangfu, et autres
Publié: (2024) -
Beyond the Vision Encoder: Identifying and Mitigating Spatial Bias in Large Vision-Language Models
par: Zhu, Yingjie, et autres
Publié: (2025) -
Is Bigger Always Better? Efficiency Analysis in Resource-Constrained Small Object Detection
par: Mbobda-Kuate, Kwame, et autres
Publié: (2026)