5 papers
DM-KG: A Novel Method for Boosting Spatial Cognition of Vision-Language Models in Street View Imagery
Xinyue Xu, Zheng Zhang, Kunyang Ma +5
As vision-language models (VLMs) are increasingly deployed in geospatial question answering and visual scene understanding, improving their spatial cognition capability on street v…
Advances and Innovations in the Multi-Agent Robotic System (MARS) Challenge
Li Kang, Heng Zhou, Xiufeng Song +41
Recent advancements in multimodal large language models and vision-languageaction models have significantly driven progress in Embodied AI. As the field transitions toward more com…
Self-Evolving Distributed Memory Architecture for Scalable AI Systems
Zixuan Li, Chuanzhen Wang, Haotian Sun
Distributed AI systems face critical memory management challenges across computation, communication, and deployment layers. RRAM based in memory computing suffers from scalability…
BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models
Thierry Blankenstein, Jialin Yu, Zixuan Li +6
Agents backed by large language models (LLMs) increasingly rely on external tools drawn from marketplaces where multiple providers offer functionally equivalent options. This raise…
GPT-4V Explorations: Mining Autonomous Driving
Zixuan Li
This paper explores the application of the GPT-4V(ision) large visual language model to autonomous driving in mining environments, where traditional systems often falter in underst…