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Fahao Chen

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#artificial intelligence Preprint Oct 2026

When Messages Go Wrong: Understanding Communication Faults in LLM-Based Multi-Agent Systems

LLM-based multi-agent systems (LLM-MAS) use specialized agents that exchange messages to accomplish complex tasks. Their reliance on networked protocols, remote tools, and model endpoints exposes communication to message loss, delay, and context expiration. Because agents often exchange open-ended natural language, ano...

Jin-Hao Zhou, Xiao-Yue Zhang, Jiongchi Yu et al. · 0 citations
Conference Open access Sep 2026

DoMoE: Domain-Aware Semantic Expert Prediction for Efficient MoE Inference Under Expert Offloading

DoMoE is proposed, a domain-aware MoE inference system that exploits domain locality in inference workloads and organizes routing information into domain-specific expert routing tables, restricts semantic matching to domain-relevant tokens and explicitly balances prediction accuracy against prediction overhead.

Yao Mu, Fa-Hao Chen, Wen-Bin Zhu et al. · 1 citation
Conference Jul 2026

Pegasus: Accelerating Large Language Model Inference with Stateful Prefix Caching

Modern large language model (LLM) inference suffers from severe Time-To-First-Token (TTFT) bottlenecks. Existing prefix KV caching mechanisms are inherently stateless, forcing a trade-off between cross-chunk attention accuracy and online recomputation overhead. To address this issue, we propose Pegasus, a novel statefu...

Fahao Chen, Peng Li, Dongxiao Yu et al. · 0 citations

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