Guardado en:
| Autores principales: | Zhu, Yiqi, Wang, Ziyue, Zhang, Can, Li, Peng, Liu, Yang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2503.14161 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models
por: Wang, Ziyue, et al.
Publicado: (2024)
por: Wang, Ziyue, et al.
Publicado: (2024)
EscapeCraft: A 3D Room Escape Environment for Benchmarking Complex Multimodal Reasoning Ability
por: Wang, Ziyue, et al.
Publicado: (2025)
por: Wang, Ziyue, et al.
Publicado: (2025)
CoMamba: Real-time Cooperative Perception Unlocked with State Space Models
por: Li, Jinlong, et al.
Publicado: (2024)
por: Li, Jinlong, et al.
Publicado: (2024)
G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning
por: Chen, Liang, et al.
Publicado: (2025)
por: Chen, Liang, et al.
Publicado: (2025)
SpaceVLM: Sub-Space Modeling of Negation in Vision-Language Models
por: Ranjbar, Sepehr Kazemi, et al.
Publicado: (2025)
por: Ranjbar, Sepehr Kazemi, et al.
Publicado: (2025)
ViPER: Empowering the Self-Evolution of Visual Perception Abilities in Vision-Language Model
por: Zhang, Juntian, et al.
Publicado: (2025)
por: Zhang, Juntian, et al.
Publicado: (2025)
Multimodal Chain of Continuous Thought for Latent-Space Reasoning in Vision-Language Models
por: Pham, Tan-Hanh, et al.
Publicado: (2025)
por: Pham, Tan-Hanh, et al.
Publicado: (2025)
Evaluating and Advancing Multimodal Large Language Models in Perception Ability Lens
por: Chen, Feng, et al.
Publicado: (2024)
por: Chen, Feng, et al.
Publicado: (2024)
Listening with the Eyes: Benchmarking Egocentric Co-Speech Grounding across Space and Time
por: Zhou, Weijie, et al.
Publicado: (2026)
por: Zhou, Weijie, et al.
Publicado: (2026)
Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs
por: Zhang, Jie, et al.
Publicado: (2024)
por: Zhang, Jie, et al.
Publicado: (2024)
OmniEarth: A Benchmark for Evaluating Vision-Language Models in Geospatial Tasks
por: Fu, Ronghao, et al.
Publicado: (2026)
por: Fu, Ronghao, et al.
Publicado: (2026)
Empowering Segmentation Ability to Multi-modal Large Language Models
por: Yang, Yuqi, et al.
Publicado: (2024)
por: Yang, Yuqi, et al.
Publicado: (2024)
Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning
por: Cheng, De, et al.
Publicado: (2024)
por: Cheng, De, et al.
Publicado: (2024)
UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces
por: Zhao, Baining, et al.
Publicado: (2025)
por: Zhao, Baining, et al.
Publicado: (2025)
FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models
por: Zheng, Weiying, et al.
Publicado: (2025)
por: Zheng, Weiying, et al.
Publicado: (2025)
QuoVLA: Quotient Space for Vision-Language-Action Models
por: Wang, Xuan, et al.
Publicado: (2026)
por: Wang, Xuan, et al.
Publicado: (2026)
Diving into Mitigating Hallucinations from a Vision Perspective for Large Vision-Language Models
por: Wang, Weihang, et al.
Publicado: (2025)
por: Wang, Weihang, et al.
Publicado: (2025)
Evaluating Time Awareness and Cross-modal Active Perception of Large Models via 4D Escape Room Task
por: Dong, Yurui, et al.
Publicado: (2026)
por: Dong, Yurui, et al.
Publicado: (2026)
Long Context Transfer from Language to Vision
por: Zhang, Peiyuan, et al.
Publicado: (2024)
por: Zhang, Peiyuan, et al.
Publicado: (2024)
PolarVSR: A Unified Framework and Benchmark for Continuous Space-Time Polarization Video Reconstruction
por: Li, Chenggong, et al.
Publicado: (2026)
por: Li, Chenggong, et al.
Publicado: (2026)
Smooth Operator: Smooth Verifiable Reward Activates Spatial Reasoning Ability of Vision-Language Model
por: Jiao, Siwen, et al.
Publicado: (2026)
por: Jiao, Siwen, et al.
Publicado: (2026)
MERGETUNE: Continued Fine-Tuning of Vision-Language Models
por: Wang, Wenqing, et al.
Publicado: (2026)
por: Wang, Wenqing, et al.
Publicado: (2026)
LAST: LeArning to Think in Space and Time for Generalist Vision-Language Models
por: Wang, Shuai, et al.
Publicado: (2025)
por: Wang, Shuai, et al.
Publicado: (2025)
MambaVLT: Time-Evolving Multimodal State Space Model for Vision-Language Tracking
por: Liu, Xinqi, et al.
Publicado: (2024)
por: Liu, Xinqi, et al.
Publicado: (2024)
Seeing the Abstract: Translating the Abstract Language for Vision Language Models
por: Talon, Davide, et al.
Publicado: (2025)
por: Talon, Davide, et al.
Publicado: (2025)
HyperGVL: Benchmarking and Improving Large Vision-Language Models in Hypergraph Understanding and Reasoning
por: Wei, Yanbin, et al.
Publicado: (2026)
por: Wei, Yanbin, et al.
Publicado: (2026)
PathReasoner-R1: Instilling Structured Reasoning into Pathology Vision-Language Model via Knowledge-Guided Policy Optimization
por: Jiang, Songhan, et al.
Publicado: (2026)
por: Jiang, Songhan, et al.
Publicado: (2026)
GTR-Bench: Evaluating Geo-Temporal Reasoning in Vision-Language Models
por: Xie, Qinghongbing, et al.
Publicado: (2025)
por: Xie, Qinghongbing, et al.
Publicado: (2025)
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
por: Zhu, Lianghui, et al.
Publicado: (2024)
por: Zhu, Lianghui, et al.
Publicado: (2024)
Medical Large Vision Language Models with Multi-Image Visual Ability
por: Yang, Xikai, et al.
Publicado: (2025)
por: Yang, Xikai, et al.
Publicado: (2025)
SPARK: Multi-Vision Sensor Perception and Reasoning Benchmark for Large-scale Vision-Language Models
por: Yu, Youngjoon, et al.
Publicado: (2024)
por: Yu, Youngjoon, et al.
Publicado: (2024)
QMamba: Post-Training Quantization for Vision State Space Models
por: Li, Yinglong, et al.
Publicado: (2025)
por: Li, Yinglong, et al.
Publicado: (2025)
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces
por: Yang, Jihan, et al.
Publicado: (2024)
por: Yang, Jihan, et al.
Publicado: (2024)
Selective State Space Memory for Large Vision-Language Models
por: Ng, Chee, et al.
Publicado: (2024)
por: Ng, Chee, et al.
Publicado: (2024)
CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model
por: Chen, Cheng, et al.
Publicado: (2024)
por: Chen, Cheng, et al.
Publicado: (2024)
Generative Editing in the Joint Vision-Language Space for Zero-Shot Composed Image Retrieval
por: Wang, Xin, et al.
Publicado: (2025)
por: Wang, Xin, et al.
Publicado: (2025)
From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D
por: Zhang, Jiahui, et al.
Publicado: (2025)
por: Zhang, Jiahui, et al.
Publicado: (2025)
HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models
por: Peng, Zelin, et al.
Publicado: (2025)
por: Peng, Zelin, et al.
Publicado: (2025)
Vision SmolMamba: Spike-Guided Token Pruning for Energy-Efficient Spiking State-Space Vision Models
por: Bai, Dewei, et al.
Publicado: (2026)
por: Bai, Dewei, et al.
Publicado: (2026)
CoT4Det: A Chain-of-Thought Framework for Perception-Oriented Vision-Language Tasks
por: Qi, Yu, et al.
Publicado: (2025)
por: Qi, Yu, et al.
Publicado: (2025)
Ejemplares similares
-
ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models
por: Wang, Ziyue, et al.
Publicado: (2024) -
EscapeCraft: A 3D Room Escape Environment for Benchmarking Complex Multimodal Reasoning Ability
por: Wang, Ziyue, et al.
Publicado: (2025) -
CoMamba: Real-time Cooperative Perception Unlocked with State Space Models
por: Li, Jinlong, et al.
Publicado: (2024) -
G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning
por: Chen, Liang, et al.
Publicado: (2025) -
SpaceVLM: Sub-Space Modeling of Negation in Vision-Language Models
por: Ranjbar, Sepehr Kazemi, et al.
Publicado: (2025)