SciAgent: Gold Medal Performance Through Hierarchical Multi-Agent Scientific Reasoning Researchers from Zhongguancun Academy, Peking University, Tencent AI Lab, and collaborating institutions have developed SciAgent, a hierarchical multi-agent system that achieves gold medal performance... artificial intelligence hierarchical architecture mathematics multi-agent systems olympiad competitions physics ReAct framework scientific reasoning
Rapid and Automated Alloy Design with Graph Neural Network-Powered Large Language Model-Driven Multi-Agent AI The search for new materials with enhanced mechanical properties has previously been constrained by the sheer complexity of the compositional design space. Multi-principal element alloys offer excepti... alloy design artificial intelligence computational materials dislocation dynamics graph neural networks machine learning materials science multi-agent systems
Agentic Neural Networks: Self-Evolving Multi-Agent Systems Through Textual Backpropagation The landscape of artificial intelligence is rapidly evolving as researchers explore new ways to harness the collaborative power of multiple Large Language Models (LLMs). A groundbreaking paper from Lu... artificial intelligence LLMs multi-agent systems neural networks optimization textual backpropagation