2 papers
cs.CV2026
MAIN-VLA: Modeling Abstraction of Intention and eNvironment for Vision-Language-Action Models
Zheyuan Zhou, Liang Du, Zixun Sun +5
Despite significant progress in Visual-Language-Action (VLA), in highly complex and dynamic environments that involve real-time unpredictable interactions (such as 3D open worlds a…
cs.CV2025
OIG-Bench: A Multi-Agent Annotated Benchmark for Multimodal One-Image Guides Understanding
Jiancong Xie, Wenjin Wang, Zhuomeng Zhang +5
Recent advances in Multimodal Large Language Models (MLLMs) have demonstrated impressive capabilities. However, evaluating their capacity for human-like understanding in One-Image…