Instruction-guided fusion of multi-layer visual features in Large Vision-Language Models
Authors:
- Xu LiXLXu Li
- Yi ZhengYZYi Zheng
- Haotian ChenHCHaotian Chen
- Xiaolei ChenXCXiaolei Chen
- Yuxuan LiangYLYuxuan Liang
- Chenghang LaiCLChenghang Lai
- Bin LiBLBin Li
- Xiangyang XueXXXiangyang Xue
- 8 July 2025
- journal article
- Published by Elsevier in Pattern Recognition
- Vol. 170
Abstract
No abstract availableThis publication has 15 references indexed in Scilit:
- Vision–language pre-training for graph-based handwritten mathematical expression recognitionPattern Recognition, 2025
- mPLUG-OwI2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration2024
- V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs2024
- MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI2024
- Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs2024
- GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering2019
- Towards VQA Models That Can Read2019
- VizWiz Grand Challenge: Answering Visual Questions from Blind People2018
- CNN for saliency detection with low-level feature integrationNeurocomputing, 2017
- MSR-VTT: A Large Video Description Dataset for Bridging Video and Language2016