16 citations · 16 across the 1 of their papers we have counts for
2 papers
cs.AI2025
GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior
Penghao Wu, Shengnan Ma, Bo Wang +3
Multimodal Large Language Models (MLLMs) have shown great potential in revolutionizing Graphical User Interface (GUI) automation. However, existing GUI models mostly rely on learni…
cs.CV2024★ 16 cited
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
Zhe Chen, Weiyun Wang, Yue Cao +39
We introduce InternVL 2.5, an advanced multimodal large language model (MLLM) series that builds upon InternVL 2.0, maintaining its core model architecture while introducing signif…