A curated list of AWESOME papers, datasets and tutorials within Multimodal Knowledge Graph.

An Open-sourced Knowledgable Large Language Model Framework.

AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets

[ACL 2024] IEPile: A Large-Scale Information Extraction Corpus

这是《5E不全书》，即DND5e已翻译资源的整合，不是《5E全书》，也不以任何人的名字署名！

LLaMA Factory Document

This is the official impletation repository of NAACL findings paper, GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models. (https://arxiv.org/abs/2310.07793).

Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

LlamaIndex is a data framework for your LLM applications

Next generation event data ontology

Academic-style project page generator

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

Temporal Knowledge Graph Forecasting Using In-Context Learning (EMNLP 2023)

Several data modalities for KBs (visual, numerical, temporal, etc.)

Official Repo of paper "KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction". In the paper, we propose KnowCoder, the most powerful large language model so far for…

A beautiful, simple, clean, and responsive Jekyll theme for academics, with support for multiple languages

A beautiful, simple, clean, and responsive Jekyll theme for academics

Completing the Puzzle of All-in-One Event Understanding Benchmark with Event Arguments

WarAgent: LLM-based Multi-Agent Simulation of World Wars

A one-stop, clean and minimal mobile-friendly Jekyll theme for your academic homepage

ACL'2022: Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction

Repo for outstanding paper@ACL 2023 "Do PLMs Know and Understand Ontological Knowledge?"

A clash client for Windows, support Mihomo

clash for windows汉化版. 提供clash for windows的汉化版, 汉化补丁及汉化版安装程序

Core Engine of Singing Voice Conversion & Singing Voice Clone

Code and documentation to train Stanford's Alpaca models, and generate the data.

Inference code for Llama models