3 papers
cs.DC2026
Beyond Uniform Experts: Cost-Aware Expert Execution for Efficient Multi-Device MoE Inference
Hui Zang, Pengfei Xia, Hong Liu +5
Mixture-of-Experts (MoE) architectures enable language models to achieve unprecedented scale via sparse activation. However, their inference performance is often limited by data mo…
cs.AI2026
MedSkillAudit: A Domain-Specific Audit Framework for Medical Research Agent Skills
Yingyong Hou, Xinyuan Lao, Huimei Wang +10
Background: Agent skills are increasingly deployed as modular, reusable capability units in AI agent systems. Medical research agent skills require safeguards beyond general-purpos…
cs.MA2026
When KV Cache Reuse Fails in Multi-Agent Systems: Cross-Candidate Interaction is Crucial for LLM Judges
Sichu Liang, Zhenglin Wang, Jiajia Chu +3
Multi-agent LLM systems routinely generate multiple candidate responses that are aggregated by an LLM judge. To reduce the dominant prefill cost in such pipelines, recent work advo…