A Dataset of Chinese Scientific Literature Abstract 中文科学文献摘要数据集

[COLING 2022] CSL: A Large-scale Chinese Scientific Literature Dataset 中文科学文献数据集

S2ORC: The Semantic Scholar Open Research Corpus: https://www.aclweb.org/anthology/2020.acl-main.447/

Virne is a simulator & benchmark for resource allocation (RA) problems in network function virtualization (NFV), i.e., NFV-RA, including virtual network embedding, service function chain deployment…

The raw data and analysis code for the Microsoft Academic paper recommender system user study conducted in 2018.

ChatGPT-Undergraduate-Writing-Tutorial是一个用于辅助本科生毕业论文写作的教程，它包含一系列Markdown文档和附件，旨在帮助人们使用ChatGPT生成论文大纲、段落、参考文献和检查语法和拼写错误。通过这个repository，你将了解如何使用ChatGPT辅助你的论文写作。

搜索真实文献并生成引用对应文献的AI论文

🌟 ChatGenTitle：使用百万arXiv论文信息在LLaMA模型上进行微调的论文题目生成模型

A network TV program recommendation system implemented by python is mainly based on the post-fusion of user collaborative filtering and content-based recommendation algorithms.

Recommender System Using LLMs

this is Recommendation system trained on Arxiv dataset

RPRS uses NLP and citation analysis to help researchers find relevant papers. The system incorporates Sentence Transformers, FAISS, and an interactive React frontend for academic recommendations.

Research Papers Recommendation System and Subject Area Prediction Using Deep Learning and LLMS.

This repository provides recommendations for research papers based on user queries. It utilizes an embedded model to interpret the user's input, retrieve the most relevant research papers, and disp…

Paper Recommendation System Using Subgraphs with Same Field of Study

Paper_Recommendation_system

PaperMate-NLP-enabled Recommendation System

The project is an academic paper recommendation system that offers personalized suggestions using NLP, FastText, SCIBERT, and cosine similarity.

论文推荐的基础架构，主要包含对数据集的预处理，用于填充核心的论文推荐代码

帮朋友做的一个小Demo，基于协同过滤的论文推荐系统

GraphRAG的应用实例，项目特点在于提供了替换OpenAI模型的方法，并通过修改原有提示和切分文档的方法，提高了GraphRAG处理中文内容的能力。

本项目用于展示三元组抽取后形成的知识图谱，包括几本小说的实体关系，以及README.md，介绍这方面的一篇文章。

明朝历史知识图谱，基于公开语料资源的爬取及数据清洗整理信息，并利用Neo4j实现图谱可视化

本人就是一个大二的菜鸟，原计划打算做一个大模型知识图谱项目去参加比赛，中途遇上了很多平常在学习中遇不到的问题，很多东西甚至很难在网络上搜索到完整的教程，所以我在这个项目中将手把手的演示如何去从零构建一个基础的大模型知识图谱项目。

小型金融知识图谱构建流程（neo4j / python / cypher / KG）

Neo4j graph construction from unstructured data using LLMs