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Jiahe Liu

3 accepted papers

2026

ResMAS: Resilience Optimization in LLM-based Multi-agent Systems

AAAI 2026technical

Large Language Model-based Multi-Agent Systems (LLM-based MAS), where multiple LLM agents collaborate to solve complex tasks, have shown impressive performance in many areas. However, MAS are typically distributed across different devices or environments, making them vulnerable to perturbations such

Cited by 0SourcePDFScholar
2025

AgentSquare: Automatic LLM Agent Search in Modular Design Space

ICLR 2025poster

Recent advancements in Large Language Models (LLMs) have led to a rapid growth of agentic systems capable of handling a wide range of complex tasks. However, current research largely relies on manual, task-specific design, limiting their adaptability to novel tasks. In this paper, we introduce a new…