仓库/Skill 库

基于个人研究兴趣的每日 arxiv 论文推荐，由 Claude 更新。Daily arxiv paper recommendation based on my research interest, updated by Claude.

LLM 驱动的科学论文推荐系统LLM-driven scientific paper recommendation system

一个基于 C# 与本地 LLM 的学术论文 RAG（Retrieval-Augmented Generation）系统。目标是摄入研究论文语料，构建可回答文献综述类问题（如"其他论文关于 X 发现了什么"）的系统，回答严格基于真实源材料。A RAG (Retrieval-Augmented Generation) system for academic papers using C# and a local LLM. The goal is to ingest a corpus of research papers and build a system that can answer literature review questions like "what have other papers found about X"; grounded in the actual source material.

本仓库为关于肌少症 AI 驱动体形分析动态文献综述的源代码。通过自行修改配置文件，本仓库也可作为其他领域的模板使用。Store here are the source code for the dynamic Literature Review on AI-Driven Body Shape Analysis for Sarcopenia. You may also treat this repository as a template for other domains by configuring the configuration files by yourself.

提出研究问题，获得可核验的带引文报告Ask a research question, get a cited report you can check.

OncoRAG 是一个 RAG 系统，为临床医生和研究人员提供即时获取最新肿瘤学证据的能力——来源包括直接来自 PubMed 的随机对照试验、Meta 分析、系统综述和 III 期临床试验。提出临床问题，即可获得带引文的可靠答案。OncoRAG is a Retrieval-Augmented Generation system that gives clinicians and researchers instant access to the latest oncology evidence — drawing from Randomized Controlled Trials, Meta-Analyses, Systematic Reviews, and Phase III Clinical Trials sourced directly from PubMed. Ask a clinical question, get a grounded answer with citations.

基于内容相似度的机器学习论文推荐系统，使用 Python 与自然语言处理技术。Machine learning recommendation system that suggests relevant research papers based on content similarity using Python and natural language processing techniques.

学术论文推荐系统research paper recommendation system

学术论文推荐系统research paper recommendation sysytem