70 citations · 110 across the 12 of their papers we have counts for
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cs.AI2025
AI-Researcher: Autonomous Scientific Innovation
Jiabin Tang, Lianghao Xia, Zhonghang Li +1
The powerful reasoning capabilities of Large Language Models (LLMs) in mathematics and coding, combined with their ability to automate complex tasks through agentic frameworks, pre…
cs.AI2025
AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents
Jiabin Tang, Tianyu Fan, Chao Huang
Large Language Model (LLM) Agents have demonstrated remarkable capabilities in task automation and intelligent decision-making, driving the widespread adoption of agent development…
cs.AI2024
GraphAgent: Agentic Graph Language Assistant
Yuhao Yang, Jiabin Tang, Lianghao Xia +3
Real-world data is represented in both structured (e.g., graph connections) and unstructured (e.g., textual, visual information) formats, encompassing complex relationships that in…