Cover Image

Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Yue, Zhang, Shuibai, Shao, Wenqi, Zhang, Kaipeng, Bin, Yi, Wang, Yu, Luo, Ping
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
by: Meng, Fanqing, et al.
Published: (2024)

ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning
by: Meng, Fanqing, et al.
Published: (2024)

B-AVIBench: Towards Evaluating the Robustness of Large Vision-Language Model on Black-box Adversarial Visual-Instructions
by: Zhang, Hao, et al.
Published: (2024)

TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing Prompts
by: Xie, Yuxuan, et al.
Published: (2024)

MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
by: Ying, Kaining, et al.
Published: (2024)

PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models
by: Meng, Fanqing, et al.
Published: (2024)

Efficient High-Resolution Visual Representation Learning with State Space Model for Human Pose Estimation
by: Zhang, Hao, et al.
Published: (2024)

Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability,Reproducibility, and Practicality
by: Zhang, Tianle, et al.
Published: (2024)

Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification
by: Peng, Wenshuo, et al.
Published: (2024)

TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language Models
by: Shao, Wenqi, et al.
Published: (2023)

ZipVL: Efficient Large Vision-Language Models with Dynamic Token Sparsification
by: He, Yefei, et al.
Published: (2024)

Adapting LLaMA Decoder to Vision Transformer
by: Wang, Jiahao, et al.
Published: (2024)

SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge
by: Li, Chuanhao, et al.
Published: (2024)

Open-Vocabulary Animal Keypoint Detection with Semantic-feature Matching
by: Zhang, Hao, et al.
Published: (2023)

SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement
by: Lin, Yuqi, et al.
Published: (2025)

Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model
by: Zhao, Lirui, et al.
Published: (2024)

MLLMs-Augmented Visual-Language Representation Learning
by: Liu, Yanqing, et al.
Published: (2023)

Enhance-A-Video: Better Generated Video for Free
by: Luo, Yang, et al.
Published: (2025)

PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models
by: Xu, Zhaopan, et al.
Published: (2025)

Position: Towards Implicit Prompt For Text-To-Image Models
by: Yang, Yue, et al.
Published: (2024)

Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation
by: Meng, Fanqing, et al.
Published: (2024)

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning
by: Meng, Fanqing, et al.
Published: (2025)

BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
by: Zhang, Taolin, et al.
Published: (2024)

InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models
by: Deng, Nianchen, et al.
Published: (2025)

From Diagnosis to Improvement: Probing Spatio-Physical Reasoning in Vision Language Models
by: Han, Tiancheng, et al.
Published: (2025)

Needle In A Multimodal Haystack
by: Wang, Weiyun, et al.
Published: (2024)

Dynamic Rank Adaptation for Vision-Language Models
by: Wang, Jiahui, et al.
Published: (2025)

dVLM-AD: Enhance Diffusion Vision-Language-Model for Driving via Controllable Reasoning
by: Ma, Yingzi, et al.
Published: (2025)

GUIOdyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices
by: Lu, Quanfeng, et al.
Published: (2024)

Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models
by: Wang, Jin, et al.
Published: (2025)

Dynamic Multimodal Prototype Learning in Vision-Language Models
by: Zhu, Xingyu, et al.
Published: (2025)

Can Large Vision-Language Models Understand Multimodal Sarcasm?
by: Wang, Xinyu, et al.
Published: (2025)

MPBench: A Comprehensive Multimodal Reasoning Benchmark for Process Errors Identification
by: Xu, Zhaopan, et al.
Published: (2025)

Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization
by: Pi, Renjie, et al.
Published: (2024)

V-MAGE: A Game Evaluation Framework for Assessing Vision-Centric Capabilities in Multimodal Large Language Models
by: Zheng, Xiangxi, et al.
Published: (2025)

GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest
by: Zhang, Shilong, et al.
Published: (2023)

Bootstrapping Vision-language Models for Self-supervised Remote Physiological Measurement
by: Yue, Zijie, et al.
Published: (2024)

TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification
by: Zheng, Kaipeng, et al.
Published: (2023)

MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models
by: Zhou, Pengfei, et al.
Published: (2025)

MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision
by: Du, Lingxiao, et al.
Published: (2025)