Name: THUKEG
Type: Organization
Bio: ChatGLM, GLM-4, CogVLM, Agent, CodeGeeX, CogView, CogVideo | CogDL, GraphMAE, AMiner | Knowledge Engineering Group (KEG) & Data Mining at Tsinghua University
Twitter: thukeg
Location: FIT Building, Tsinghua University
Blog: https://huggingface.co/THUDM
THUKEG's Projects
A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
AgentTuning: Enabling Generalized Agent Abilities for LLMs
大模型多维度中文对齐评测基准 (ACL 2024)
APAR: LLMs Can Do Auto-Parallel Auto-Regressive Decoding
ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation (WWW'23)
An LLM-based Web Navigating Agent (KDD'24)
The source code for BatchSampler that accepted in KDD'23
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)
CodeGeeX2: A More Powerful Multilingual Code Generation Model
CodeGeeX4-ALL-9B, a versatile model for all AI software development scenarios, including code completion, code interpreter, web search, function calling, repository-level Q&A and much more.
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Source code and dataset for paper "Cognitive Knowledge Graph Reasoning for One-shot Relational Learning"
Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"
Text-to-video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
official code repo for paper "CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers"
a state-of-the-art-level open visual language model | 多模态预训练模型
GPT4V-level open-source multi-modal model based on Llama3-8B
Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction (TKDE'24)