Stars
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
[ICLR24] The open-source repo of THU-KEG's KoLA benchmark.
精选 OpenAI 的 [ChatGPT](https://chat.openai.com) 资源清单, 跟随最新资源并添加中文相关Work
The code and dataset of ACL'23 paper "Distantly Supervised Course Concept Extraction in MOOCs with Academic Discipline"
SkyCode是一个多语言开源编程大模型，采用GPT3模型结构，支持Java, JavaScript, C, C++, Python, Go, shell等多种主流编程语言，并能理解中文注释。模型可以对代码进行补全，拥有强大解题能力，使您从编程中解放出来，专心于解决更重要的问题。| SkyCode is an open source programming model, which adop…
This project is an attempt to create a common metric to test LLM's for progress in eliminating hallucinations which is the most serious current problem in widespread adoption of LLM's for many real…
⏳ ChatLog: Recording and Analysing ChatGPT Across Time
The data and source code for the paper "MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs"
Resource, Evaluation and Detection Papers for ChatGPT
Code for the COLING22 paper "UPER: Boosting Multi-Document Summarization with an Unsupervised Prompt-based Extractor"
GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
A comprehensive, unified and modular event extraction toolkit.
This is a repo listing some must-read papers on *AI-driven MOOCs* or *Intelligent Education* published in recent years, mainly contributed by the MOOC team members at Knowledge Engineering Group ([…
A large-scale knowledge repository for adaptive learning, learning analytics, and knowledge discovery in MOOCs, hosted by THU KEG.
This is the concept acquisition pipeline for the concept graph construction of scientific
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
The source code for SetExpan framework, published in ECML-PKDD 2017
A curated list of awesome self-supervised methods
Data used in "Recovering Concept Prerequisite Relations from University Course Dependencies" (Liang et al. 2017)
Sample Code for Gated Graph Neural Networks