Author

Yan-Xuan Yu

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Book Open access Sep 2026

To Keep or Not to Keep: Learning KV Cache Retention in Disaggregated LLM Serving Systems

Disaggregated LLM serving separates prefill and decode into distinct node pools, interposing a network fabric between the moment a key-value (KV) cache is computed and the moment it is consumed. This architectural shift invalidates a core assumption of classical cache policies: that the cost of a miss is simply recompu...

Dong Liu, Yan-Xuan Yu, Eric Jiang et al. · Proceedings of the 19th ACM... · 0 citations

#artificial intelligence Preprint Sep 2026

Privacy-Preserving Topology-Guided Safety for LLM-Based Multi-Agent Systems via Federated Graph Learning

Topology-guided safeguards for LLM-based multi-agent systems (MAS) train a GNN over the inter-agent communication graph to localize risky agents and intervene on the topology---but they assume one operator can pool all labeled traces. Across organizations that assumption breaks: episodes contain private prompts, tool o...

Jin-Xi Yu, Eric Jiang, Levina Li et al. · 0 citations

Jul 2026

RUBRIC: Realism-Utility Balanced Ranking for Imbalanced Classification

This work introduces RUBRIC, a generator-agnostic filtering framework that formulates synthetic sample selection as a quality-over-quantity optimization problem and shows that RUBRIC improves F1-macro and recall while maintaining comparable ROC-AUC across several generators.

Yan-Xuan Yu, Dong Liu, Shu Wang et al. · arXiv.org · 1 citation