97 citations · 102 across the 4 of their papers we have counts for
4 papers
Unleashing the Intrinsic Visual Representation Capability of Multimodal Large Language Models
Hengzhuang Li, Xinsong Zhang, Qiming Peng +6
Multimodal Large Language Models (MLLMs) have demonstrated remarkable proficiency in multimodal tasks. Despite their impressive performance, MLLMs suffer from the modality imbalanc…
Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training
Xinsong Zhang, Yarong Zeng, Xinting Huang +4
In recent years, the field of vision-language model pre-training has experienced rapid advancements, driven primarily by the continuous enhancement of textual capabilities in large…
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training
Yan Zeng, Wangchunshu Zhou, Ao Luo +2
In this paper, we introduce Cross-View Language Modeling, a simple and effective pre-training framework that unifies cross-lingual and cross-modal pre-training with shared architec…
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
Yan Zeng, Xinsong Zhang, Hang Li
Most existing methods in vision language pre-training rely on object-centric features extracted through object detection and make fine-grained alignments between the extracted feat…