Hongjian Wu

Game Ground Bench: Probing the Limits of LVLMs in Complex Semantic Grounding Across Game Universes

Large Vision-Language Models (LVLMs) have demonstrated remarkable capabilities, yet their ability to ground language in complex, interactive environments such as video games remains a critical frontier. Existing benchmarks are inadequate for this purpose: real-world datasets like RefCOCO introduce a