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