most citedAgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System Need

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cs.DC2025

Reaching Agreement Among Reasoning LLM Agents

Chaoyi Ruan, Yiliang Wang, Ziji Shi +1

Multi-agent systems have extended the capability of agentic AI. Instead of single inference passes, multiple agents perform collective reasoning to derive high quality answers. How…

cs.DC2025

DynaServe: Unified and Elastic Execution for Dynamic Disaggregated LLM Serving

Chaoyi Ruan, Yinhe Chen, Dongqi Tian +4

LLM inference must meet strict latency SLOs (e.g., 100 ms P99 time-between-tokens) while maximizing goodput. Yet, real-world variability in prompt and response lengths skews comput…