BiG TeaM


We are forcusing on big graphs and trust-worthy large foundation models, which aims at bridging large language models (LLMs) and graph mining to tackle the real-world challenges. The group is directed by Shenghua Liu at Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS). The goals include:
  • Trustworthy LLMs, focusing on knowledge editing, contextual faithfulness, and safe generation.
  • High-quality data, that is data mining methods related to big graph mining, scalable algorithms, graph compression, and summarization.
  • Reasoning and efficiency scaling, focusing on more complex reasoning abilities (like thinking as a graph, and graph LLMs), and efficient machine learning from both algorithm and hardware sides.

    We are actively recruiting highly-motivated Researchers and Ph.D./M.S. students to join our group at ICT, CAS!
    • UCAS UCAS Long ICT