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20242026
most citedMME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs

4 citations · 4 across the 4 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

Can Unified Generation and Understanding Models Maintain Semantic Equivalence Across Different Output Modalities?

Hongbo Jiang, Jie Li, Yunhang Shen +4

Unified Multimodal Large Language Models (U-MLLMs) integrate understanding and generation within a single architecture. However, existing evaluations typically assess these capabil…

cs.CV2025

FlexiReID: Adaptive Mixture of Expert for Multi-Modal Person Re-Identification

Zhen Sun, Lei Tan, Yunhang Shen +5

Multimodal person re-identification (Re-ID) aims to match pedestrian images across different modalities. However, most existing methods focus on limited cross-modal settings and fa…

cs.CV2025

VITA-VLA: Efficiently Teaching Vision-Language Models to Act via Action Expert Distillation

Shaoqi Dong, Chaoyou Fu, Haihan Gao +12

Vision-Language Action (VLA) models significantly advance robotic manipulation by leveraging the strong perception capabilities of pretrained vision-language models (VLMs). By inte…

cs.CV2025

Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs

Xudong Li, Mengdan Zhang, Peixian Chen +8

Multi-modal Large Language Models (MLLMs) excel at single-image tasks but struggle with multi-image understanding due to cross-modal misalignment, leading to hallucinations (contex…

cs.CV2025

Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuracy

Yunhang Shen, Chaoyou Fu, Shaoqi Dong +14

We introduce Long-VITA, a simple yet effective large multi-modal model for long-context visual-language understanding tasks. It is adept at concurrently processing and analyzing mo…

cs.CV2025

VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction

Chaoyou Fu, Haojia Lin, Xiong Wang +13

Recent Multimodal Large Language Models (MLLMs) have typically focused on integrating visual and textual modalities, with less emphasis placed on the role of speech in enhancing in…