3 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
NavBench: Probing Multimodal Large Language Models for Embodied Navigation
Yanyuan Qiao, Haodong Hong, Wenqi Lyu +5
Multimodal Large Language Models (MLLMs) have demonstrated strong generalization in vision-language tasks, yet their ability to understand and act within embodied environments rema…
Are Large Vision Language Models Good Game Players?
Xinyu Wang, Bohan Zhuang, Qi Wu
Large Vision Language Models (LVLMs) have demonstrated remarkable abilities in understanding and reasoning about both visual and textual information. However, existing evaluation m…
ModaVerse: Efficiently Transforming Modalities with LLMs
Xinyu Wang, Bohan Zhuang, Qi Wu
Humans possess the capability to comprehend diverse modalities and seamlessly transfer information between them. In this work, we introduce ModaVerse, a Multi-modal Large Language…
SwitchGPT: Adapting Large Language Models for Non-Text Outputs
Xinyu Wang, Bohan Zhuang, Qi Wu
Large Language Models (LLMs), primarily trained on text-based datasets, exhibit exceptional proficiencies in understanding and executing complex linguistic instructions via text ou…