Zhihong Zhang

System Intelligence emerges as a game-changer, enabling LLM agents to collaborate effectively across complex tasks by organizing their interactions through dynamic graph structures.

CIM dynamics could revolutionize neural network training, achieving efficiency and scalability that traditional methods struggle to match.

LegalGraphRAG's multi-agent system ensures verifiable legal reasoning, moving beyond opaque LLM outputs to provide transparent, evidence-backed judgments.

Noisy multimodal preference datasets are holding back reward model performance, but DT2IT-MRM offers a scalable curation strategy that achieves state-of-the-art results.