2 papers
cs.AI2026
Do MLLMs Really See It: Reinforcing Visual Attention in Multimodal LLMs
Siqu Ou, Tianrui Wan, Zhiyuan Zhao +2
While chain-of-thought (CoT) reasoning has substantially improved multimodal large language models (MLLMs) on complex reasoning tasks, existing approaches largely rely on long text…
cs.CL2025
WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-Code
Zhiyu Lin, Zhengda Zhou, Zhiyuan Zhao +4
With the rapid advancement of Generative AI technology, Multimodal Large Language Models(MLLMs) have the potential to act as AI software engineers capable of executing complex web…