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cs.AI2026
BaRe-Mem: Bayesian Reliability Memory for Robust and Adaptive Agent Consultation
Peilin Feng, Zhengyang Huang, Soujanya Poria
In multi-agent systems, reliable consultation is challenging because advisor capabilities vary across tasks, and misleading information can make consultation worse than autonomous…
cs.AI2024★ 1 cited
Bench-CoE: a Framework for Collaboration of Experts from Benchmark
Yuanshuai Wang, Xingjian Zhang, Jinkun Zhao +5
Large Language Models (LLMs) are key technologies driving intelligent systems to handle multiple tasks. To meet the demands of various tasks, an increasing number of LLMs-driven ex…