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---
title: README
emoji: 📉
colorFrom: green
colorTo: red
sdk: static
pinned: false
---
The Knowledge Engineering Group (**[KEG](https://twitter.com/thukeg)**) & Data Mining ([THUDM](https://github.com/THUDM)) at Tsinghua University.
We build the **[ChatGLM](https://arxiv.org/pdf/2406.12793)** family of LLMs, develop LLMs as **Agents**, and release related LLM training & inference techniques:
* **[GLM-4](https://github.com/THUDM/GLM-4)**,
**[CodeGeeX](https://github.com/THUDM/CodeGeeX2)**,
**[CogVLM (VisualGLM)](https://github.com/THUDM/CogVLM2)**,
**[WebGLM](https://github.com/THUDM/WebGLM)**,
**[GLM-130B](https://github.com/THUDM/GLM-130B)**,
**[CogView](https://github.com/THUDM/CogView)**,
**[CogVideo && CogVideoX](https://github.com/THUDM/CogVideo)**.
* **[CogAgent](https://github.com/THUDM/CogVLM)**,
**[AutoWebGLM](https://github.com/THUDM/AutoWebGLM)**,
**[AgentTuning](https://github.com/THUDM/AgentTuning)**,
**[APAR](https://arxiv.org/abs/2401.06761)**.
We also work on **LLM evaluations**:
**[AgentBench](https://github.com/THUDM/AgentBench)**,
**[AlignBench](https://github.com/THUDM/AlignBench)**,
**[LongBench](https://github.com/THUDM/LongBench)**,
**[NaturalCodeBench](https://github.com/THUDM/NaturalCodeBench)**.
We also **pre-train graph neural networks**:
**[GraphMAE](https://github.com/THUDM/GraphMAE)**,
**[GPT-GNN](https://github.com/acbull/GPT-GNN)**,
**[GCC](https://github.com/THUDM/CogDL)**,
**[SelfKG](https://github.com/THUDM/SelfKG)**,
**[CogDL](https://github.com/THUDM/CogDL)**.
We also work on **graph embedding theory, algorithms, and systems**:
**[SketchNE](https://github.com/THU-numbda/SketchNE)**,
**[ProNE](https://github.com/THUDM/ProNE)**,
**[NetSMF](https://github.com/xptree/NetSMF)**,
**[NetMF](https://github.com/xptree/NetMF)**.
We started with **social networks and graphs**, and always love them:
**[AMiner](https://www.aminer.cn/)**.
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