Cover Image

A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Zongxia, Wu, Xiyang, Du, Hongyang, Liu, Fuxiao, Nghiem, Huy, Shi, Guangyao
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language Machine Learning Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models
by: Guan, Tianrui, et al.
Published: (2023)

VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding
by: Li, Zongxia, et al.
Published: (2025)

ProGAL-VLA: Grounded Alignment through Prospective Reasoning in Vision-Language-Action Models
by: Darabi, Nastaran, et al.
Published: (2026)

Language and Planning in Robotic Navigation: A Multilingual Evaluation of State-of-the-Art Models
by: Mansour, Malak, et al.
Published: (2025)

EgoPlan-Bench: Benchmarking Multimodal Large Language Models for Human-Level Planning
by: Chen, Yi, et al.
Published: (2023)

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

MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data
by: Li, Zongxia, et al.
Published: (2026)

DivScene: Towards Open-Vocabulary Object Navigation with Large Vision Language Models in Diverse Scenes
by: Wang, Zhaowei, et al.
Published: (2024)

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

Can DeepSeek Reason Like a Surgeon? An Empirical Evaluation for Vision-Language Understanding in Robotic-Assisted Surgery
by: Ma, Boyi, et al.
Published: (2025)

NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language Models
by: Zhou, Gengze, et al.
Published: (2024)

Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability
by: Shu, Dong, et al.
Published: (2025)

First Frame Is the Place to Go for Video Content Customization
by: Chen, Jingxi, et al.
Published: (2025)

Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation
by: Lu, Jinghui, et al.
Published: (2026)

How Can Large Language Models Enable Better Socially Assistive Human-Robot Interaction: A Brief Survey
by: Shi, Zhonghao, et al.
Published: (2024)

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

ETPNav: Evolving Topological Planning for Vision-Language Navigation in Continuous Environments
by: An, Dong, et al.
Published: (2023)

TRAVEL: Training-Free Retrieval and Alignment for Vision-and-Language Navigation
by: Rajabi, Navid, et al.
Published: (2025)

MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models
by: Wu, Xiyang, et al.
Published: (2025)

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

VLN-NF: Feasibility-Aware Vision-and-Language Navigation with False-Premise Instructions
by: Su, Hung-Ting, et al.
Published: (2026)

Mechanistic Finetuning of Vision-Language-Action Models via Few-Shot Demonstrations
by: Mitra, Chancharik, et al.
Published: (2025)

AgentThink: A Unified Framework for Tool-Augmented Chain-of-Thought Reasoning in Vision-Language Models for Autonomous Driving
by: Qian, Kangan, et al.
Published: (2025)

Building Cooperative Embodied Agents Modularly with Large Language Models
by: Zhang, Hongxin, et al.
Published: (2023)

End-to-End Navigation with Vision Language Models: Transforming Spatial Reasoning into Question-Answering
by: Goetting, Dylan, et al.
Published: (2024)

EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving
by: Schäfer, Finn Rasmus, et al.
Published: (2026)

AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models
by: Wu, Yuhang, et al.
Published: (2024)

A Superalignment Framework in Autonomous Driving with Large Language Models
by: Kong, Xiangrui, et al.
Published: (2024)

Collaborative Representation Learning for Alignment of Tactile, Language, and Vision Modalities
by: Zhou, Yiyun, et al.
Published: (2025)

Ground-level Viewpoint Vision-and-Language Navigation in Continuous Environments
by: Li, Zerui, et al.
Published: (2025)

TimeSpot: Benchmarking Geo-Temporal Understanding in Vision-Language Models in Real-World Settings
by: Wasi, Azmine Toushik, et al.
Published: (2026)

3D-VLA: A 3D Vision-Language-Action Generative World Model
by: Zhen, Haoyu, et al.
Published: (2024)

What Limits Vision-and-Language Navigation ?
by: Wang, Yunheng, et al.
Published: (2026)

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding
by: Chow, Wei, et al.
Published: (2025)

VLNVerse: A Benchmark for Vision-Language Navigation with Versatile, Embodied, Realistic Simulation and Evaluation
by: Lin, Sihao, et al.
Published: (2025)

Vision-and-Language Navigation Generative Pretrained Transformer
by: Hanlin, Wen
Published: (2024)

Following Route Instructions using Large Vision-Language Models: A Comparison between Low-level and Panoramic Action Spaces
by: Kåsene, Vebjørn Haug, et al.
Published: (2025)

Polaris: Open-ended Interactive Robotic Manipulation via Syn2Real Visual Grounding and Large Language Models
by: Wang, Tianyu, et al.
Published: (2024)

Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language Navigation
by: Zhang, Pingrui, et al.
Published: (2025)

Robobench: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models as Embodied Brain
by: Luo, Yulin, et al.
Published: (2025)