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title: README
emoji: 📉
colorFrom: green
colorTo: red
sdk: static
pinned: false
The Knowledge Engineering Group (KEG) & Data Mining (THUDM) at Tsinghua University.
We build LLMs, develop LLMs as Agents as well as develop related LLM training & inference techniques:
- ChatGLM, CodeGeeX, CogVLM (VisualGLM), WebGLM, GLM-130B, CogView, CogVideo,
- CogAgent, AutoWebGLM, AgentTuning, APAR.
We also work on LLM evaluations: AgentBench, AlignBench, LongBench, NaturalCodeBench.
We also pre-train graph neural networks: GraphMAE, GPT-GNN, GCC, SelfKG, CogDL.
We also work on graph embedding theory, algorithms, and systems: SketchNE, ProNE, NetSMF, NetMF.
We started with social networks and graphs, and always love them: AMiner.