4 papers
Collaborative Lossless LLM Inference Serving with Offloading-based Pipeline Parallelism on Edge Devices
Mingyu Sun, Xiao Zhang, Shen Qu +5
Providing lossless inference services of LLMs on edge devices remains challenging, especially given the extremely tight memory budgets. The existing offloading techniques inevitabl…
Federating to Grow Transformers with Constrained Resources without Model Sharing
Shikun Shen, Yifei Zou, Yuan Yuan +4
The high resource consumption of large-scale models discourages resource-constrained users from developing their customized transformers. To this end, this paper considers a federa…
Efficient Strategy Learning by Decoupling Searching and Pathfinding for Object Navigation
Yanwei Zheng, Shaopu Feng, Bowen Huang +3
Inspired by human-like behaviors for navigation: first searching to explore unknown areas before discovering the target, and then the pathfinding of moving towards the discovered t…
Leveraging Unknown Objects to Construct Labeled-Unlabeled Meta-Relationships for Zero-Shot Object Navigation
Yanwei Zheng, Changrui Li, Chuanlin Lan +5
Zero-shot object navigation (ZSON) addresses situation where an agent navigates to an unseen object that does not present in the training set. Previous works mainly train agent usi…