2 papers
cs.AI2026
Brain-Inspired Graph Multi-Agent Systems for LLM Reasoning
Guangfu Hao, Yuming Dai, Xianzhe Qin +1
Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of language tasks, yet complex multi-step reasoning remains a fundamental challenge. Whil…
cs.AI2025
Agentic Lybic: Multi-Agent Execution System with Tiered Reasoning and Orchestration
Liangxuan Guo, Bin Zhu, Qingqian Tao +5
Autonomous agents for desktop automation struggle with complex multi-step tasks due to poor coordination and inadequate quality control. We introduce Agentic Lybic, a novel multi-a…