Tag
Proposes G²C-MT, a graph-guided context selection framework for document-level machine translation that models structured discourse dependencies via a lightweight discourse graph and depth-biased random walk, outperforming baselines on multiple LLMs.
UI-KOBE proposes a framework that enhances lightweight mobile GUI agents by constructing and leveraging app-specific knowledge graphs to improve task planning and execution efficiency.