AI RESEARCH
Paper Circle: An Open-source Multi-agent Research Discovery and Analysis Framework
arXiv CS.CL
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ArXi:2604.06170v1 Announce Type: new The rapid growth of scientific literature has made it increasingly difficult for researchers to efficiently discover, evaluate, and synthesize relevant work. Recent advances in multi-agent large language models (LLMs) have nstrated strong potential for understanding user intent and are being trained to utilize various tools. In this paper, we