Search Results for author:
Found 6 papers, 0 papers with code
Do We Really Need a Complex Agent System? Distill Embodied Agent into a Single Model
After distillation, embodied agents can complete complex, open-ended tasks without additional expert guidance, utilizing the performance and knowledge of a versatile MLM.
Hierarchical Auto-Organizing System for Open-Ended Multi-Agent Navigation
To assess organizational behavior, we design a series of navigation tasks in the Minecraft environment, which includes searching and exploring.
See and Think: Embodied Agent in Virtual Environment
Vision perception involves the interpretation of visual information in the environment, which is then integrated into the LLMs component with agent state and task instruction.
Devil in the Number: Towards Robust Multi-modality Data Filter
In order to appropriately filter multi-modality data sets on a web-scale, it becomes crucial to employ suitable filtering methods to boost performance and reduce training costs.
UniAP: Towards Universal Animal Perception in Vision via Few-shot Learning
Our proposed model takes support images and labels as prompt guidance for a query image.
A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision
Deep learning has the potential to revolutionize sports performance, with applications ranging from perception and comprehension to decision.
