6 papers
From Cloud to Crowd: Democratizing LLM Service with Decentralized Edge Collaboration for RAG
Jiaxing Li, Hengzhi Wang, Feng Wang +5
The rapid advancement of large language models (LLMs) has increased demand for scalable and cost-effective deployment, especially for mobile and edge devices. Cloud-hosted LLMs are…
Sustainable Intelligence for the Wild: Democratizing Ecological Monitoring via Knowledge-Adaptive Edge Expert Agents
Jiaxing Li, Hao Fang, Chi Xu +5
Rapid biodiversity loss underscore the urgency of effective monitoring, yet manual surveys remain resource-intensive. While on-device AI offers a scalable alternative, its performa…
Beyond Localization: A Comprehensive Benchmark of Perspective-Conditioned Spatial Reasoning in MLLMs from Omnidirectional Images
Yuangong Chen, Wai Keung Wong, Jiaxing Li +2
Multimodal Large Language Models (MLLMs) show strong visual perception, yet remain limited in reasoning about space under changing viewpoints. We study this challenge as Perspectiv…
StarStream: Live Video Analytics over Space Networking
Miao Zhang, Jiaxing Li, Haoyuan Zhao +2
Streaming videos from resource-constrained front-end devices over networks to resource-rich cloud servers has long been a common practice for surveillance and analytics. Most exist…
EACO-RAG: Towards Distributed Tiered LLM Deployment using Edge-Assisted and Collaborative RAG with Adaptive Knowledge Update
Jiaxing Li, Chi Xu, Lianchen Jia +3
Large language models (LLMs) have demonstrated impressive capabilities in language tasks, but they require high computing power and rely on static knowledge. To overcome these limi…
SCALM: Towards Semantic Caching for Automated Chat Services with Large Language Models
Jiaxing Li, Chi Xu, Feng Wang +3
Large Language Models (LLMs) have become increasingly popular, transforming a wide range of applications across various domains. However, the real-world effectiveness of their quer…