2 citations · 3 across the 34 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
Learning What to Retain: Gated-Memory Routing for Efficient Collaboration in Multi-Agent LLM Systems
Rakibul Hasan Rajib, Mengxin Zheng, Qian Lou
Large language model (LLM)-based multi-agent systems tackle complex reasoning by orchestrating how multiple agents are configured and how they collaborate. A central challenge is t…
cs.AI2026
INFRAMIND: Infrastructure-Aware Multi-Agent Orchestration
Ahasan Kabir, Jiaqi Xue, Mengxin Zheng +1
Existing multi-agent LLM orchestration methods, ranging from brute-force ensembles to learned routers, select models and topologies based on task and model features. However, these…