2 papers
cs.CL2025
Code-Vision: Evaluating Multimodal LLMs Logic Understanding and Code Generation Capabilities
Hanbin Wang, Xiaoxuan Zhou, Zhipeng Xu +7
This paper introduces Code-Vision, a benchmark designed to evaluate the logical understanding and code generation capabilities of Multimodal Large Language Models (MLLMs). It chall…
cs.CV2023
Bridging Modality Gap for Visual Grounding with Effecitve Cross-modal Distillation
Jiaxi Wang, Wenhui Hu, Xueyang Liu +3
Visual grounding aims to align visual information of specific regions of images with corresponding natural language expressions. Current visual grounding methods leverage pre-train…