Cover Image

Beyond Attention Magnitude: Leveraging Inter-layer Rank Consistency for Efficient Vision-Language-Action Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Peiju, Liu, Jinming, Qiu, Xipeng, Huang, Xuanjing
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SRPO: Self-Referential Policy Optimization for Vision-Language-Action Models
by: Fei, Senyu, et al.
Published: (2025)

LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models
by: Fei, Senyu, et al.
Published: (2025)

World Action Models: The Next Frontier in Embodied AI
by: Wang, Siyin, et al.
Published: (2026)

VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks
by: Zhang, Shiduo, et al.
Published: (2024)

ViCA: Efficient Multimodal LLMs with Vision-Only Cross-Attention
by: Liu, Wenjie, et al.
Published: (2026)

BabyVision: Visual Reasoning Beyond Language
by: Chen, Liang, et al.
Published: (2026)

Prism: Spectral-Aware Block-Sparse Attention
by: Wang, Xinghao, et al.
Published: (2026)

GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models Evaluation
by: Zong, Yi, et al.
Published: (2024)

FrEVL: Leveraging Frozen Pretrained Embeddings for Efficient Vision-Language Understanding
by: Bourigault, Emmanuelle, et al.
Published: (2025)

Navigating Beyond Instructions: Vision-and-Language Navigation in Obstructed Environments
by: Hong, Haodong, et al.
Published: (2024)

Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone
by: Ye, Jiacheng, et al.
Published: (2025)

Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance
by: Zhao, Haozhe, et al.
Published: (2024)

Diagnosing Vision Language Models' Perception by Leveraging Human Methods for Color Vision Deficiencies
by: Hayashi, Kazuki, et al.
Published: (2025)

Investigating Spatial Attention Bias in Vision-Language Models
by: Chaudhary, Aryan, et al.
Published: (2025)

No Tokens Wasted: Leveraging Long Context in Biomedical Vision-Language Models
by: Sun, Min Woo, et al.
Published: (2025)

Bootstrapping Action-Grounded Visual Dynamics in Unified Vision-Language Models
by: Qiu, Yifu, et al.
Published: (2025)

EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models
by: Du, Mengfei, et al.
Published: (2024)

EmbodiedMidtrain: Bridging the Gap between Vision-Language Models and Vision-Language-Action Models via Mid-training
by: Du, Yiyang, et al.
Published: (2026)

Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts
by: Chen, Qizhou, et al.
Published: (2024)

Beyond the Vision Encoder: Identifying and Mitigating Spatial Bias in Large Vision-Language Models
by: Zhu, Yingjie, et al.
Published: (2025)

ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation
by: Hou, Wenjun, et al.
Published: (2024)

Survey on Vision-Language-Action Models
by: Adilkhanov, Adilzhan, et al.
Published: (2025)

Sparser Block-Sparse Attention via Token Permutation
by: Wang, Xinghao, et al.
Published: (2025)

FASTer: Toward Efficient Autoregressive Vision Language Action Modeling via Neural Action Tokenization
by: Liu, Yicheng, et al.
Published: (2025)

Instruction-Aligned Visual Attention for Mitigating Hallucinations in Large Vision-Language Models
by: Li, Bin, et al.
Published: (2025)

Can Vision-Language Models Solve the Shell Game?
by: Liu, Tiedong, et al.
Published: (2026)

Inference Compute-Optimal Video Vision Language Models
by: Wang, Peiqi, et al.
Published: (2025)

VEGAS: Mitigating Hallucinations in Large Vision-Language Models via Vision-Encoder Attention Guided Adaptive Steering
by: Wang, Zihu, et al.
Published: (2025)

Dynamic Embedding of Hierarchical Visual Features for Efficient Vision-Language Fine-Tuning
by: Wei, Xinyu, et al.
Published: (2025)

MoIIE: Mixture of Intra- and Inter-Modality Experts for Large Vision Language Models
by: Wang, Dianyi, et al.
Published: (2025)

Adaptive Vision-Language Model Routing for Computer Use Agents
by: Liu, Xunzhuo, et al.
Published: (2026)

PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model
by: Arif, Kazi Hasan Ibn, et al.
Published: (2025)

Attention, Please! PixelSHAP Reveals What Vision-Language Models Actually Focus On
by: Goldshmidt, Roni
Published: (2025)

VisCon-100K: Leveraging Contextual Web Data for Fine-tuning Vision Language Models
by: Kumar, Gokul Karthik, et al.
Published: (2025)

SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
by: Liu, Zheng, et al.
Published: (2024)

Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning
by: Cambrin, Daniele Rege, et al.
Published: (2024)

Leveraging Vision-Language Large Models for Interpretable Video Action Recognition with Semantic Tokenization
by: Peng, Jingwei, et al.
Published: (2025)

Speak While Watching: Unleashing TRUE Real-Time Video Understanding Capability of Multimodal Large Language Models
by: Lin, Junyan, et al.
Published: (2026)

Can Vision Language Models Understand Mimed Actions?
by: Cho, Hyundong, et al.
Published: (2025)

VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models
by: Qiu, Haoyi, et al.
Published: (2024)