语义优先的 Codex skill,用于可审计的 BERTopic 调参、主题解释、模型比较与可复现研究交付。Semantic-first Codex skill for auditable BERTopic tuning, topic interpretation, model comparison, and reproducible research delivery.
仓库/Skill 库
131 个 · RAG 检索增强 · 学术写作
Review Hub - 用于系统文献综述的 FastAPI 后端Review Hub - FastAPI Backend for Systematic Literature Review
AI 辅助的文献综述与综合工作流。AI-assisted literature review and synthesis workflows
本地优先的桌面端研究与引用管理器,具备 AI 辅助引用建议、语义文献库搜索、PDF 批注以及 Microsoft Word 插件。Local-first desktop research & citation manager with AI-assisted citation suggestions, semantic library search, PDF annotation, and a Microsoft Word add-in.
Daily Paper Update 是一个精选仓库,提供人工智能、机器学习与计算机科学多领域近期研究论文的结构化技术摘要。目标是加速文献综述,为研究人员、工程师与学生提供便利。Daily Paper Update is a curated repository that provides structured and technical summaries of recent research papers across multiple domains in Artificial Intelligence, Machine Learning, and Computer Science. The goal is to accelerate literature review, facilitate researchers, engineers, and students.
从首次检索到完成的证据表,一站式文献综述。面向需要可复现系统综述的团队,以及在同一机制上完成论文检索的学生。A literature review, from the first search to the finished evidence table. For teams running a systematic review that has to be reproducible, and for students running a thesis search on the same machinery.
跨平台桌面端(EXE)学术论文聚合客户端,支持自定义 JSON 数据源规则、多标签页隔离搜索、内置 PDF 阅读与翻译、批量下载,灵感来自 Legado。A cross-platform desktop client (EXE) for aggregating academic papers. Supports custom JSON data-source rules, multi-tab isolated search, built-in PDF reader with translation, and batch downloads. Inspired by Legado.
开源、可自托管、召回优先的文献综述工具:自然语言问题 → 排序论文(摘要、OA 链接、引文)+ 带引文的综述草稿。可使用自有模型与密钥运行Open, self-hostable, recall-first literature-review tool: a natural-language question -> ranked papers (abstracts, OA links, citations) + a cited draft review. Runs on your own model and keys.
基于 2026 年起市场研究行业岗位相关文献综述生成的 Wiki。Wiki generated from literature review about market research industry jobs starting 2026.
针对气候灾害与心理健康系统综述的文献检索(PubMed、Scopus)Bibliographic retrievals (PubMed, Scopus) for a systematic review of climate hazards and mental health
本仓库为我们论文 SPR-SMN:Scientific paper recommendation employing SPECTER with memory network 的代码This repository is for the code of our paper SPR-SMN: Scientific paper recommendation employing SPECTER with memory network
仅英文、本地 CSV 运行的系统综述文献下载助手。English-only, local CSV literature download assistant for systematic review projects
基于 Java 的数据结构与算法项目,结合 Rabin–Karp 进行精确关键词匹配、编辑距离进行近似相似度计算、二分图匹配实现主题到论文的推荐。A Java-based DSA project that recommends relevant research papers using Rabin–Karp for exact keyword matching, Edit Distance for approximate similarity, and Bipartite Graph Matching for topic-to-paper recommendations.
基于 GenAI 的科研论文分析平台,支持多 PDF 问答、论文对比、文献综述与研究情报。GenAI-powered platform for research paper analysis, multi-PDF QA, paper comparison, literature review and research intelligence.
SYNC Transformer 的可复现研究实现:通过情景检索、融合与弃判的条件残差传输,用于时间序列预测Reproducible research implementation of SYNC Transformer: conditional residual transport with episodic retrieval, fusion, and abstention for time-series forecasting.
从一段简介或一句话问题出发,查找对某一研究问题、主题或项目影响力最高的 5–10 篇近期论文Find the 5-10 recent papers with the highest impact on a research question, topic or project, starting from a brief or a one-line question.
针对个性化新抗原癌症疫苗与肿瘤特异性 T 细胞应答的独立结构化文献综述Independent structured literature review of personalized neoantigen cancer vaccines and tumor-specific T-cell responses.
一款面向学生的友好界面应用,用于介绍 Diana Ridley(2012)的文献综述方法(SQ3R),并融入适用于社会科学学生的 SPIDER 方法,辅助学生主动完成文献标注与综述写作This app is a student friendly interface to introduce Diana Ridley's (2012) method of literature review (SQ3R) and incorporating 'SPIDER' method for students of Social Science. This is an assistive application for students to actively annotate and write review of literature.
AI 驱动的学术研究助手,使用 RAG 与 LLM 进行论文分析、生成文献综述、识别研究空白、产出深度解读,并生成带来源引用的演示文稿。AI-powered academic research assistant that uses RAG and LLMs to analyze research papers, generate literature reviews, identify research gaps, create deep explanations, and generate presentations with source citations.
每周阅读的研究论文推荐Research Paper Recommendations for Weekly Reading
AI 驱动的生物医学文献综述平台:从 PubMed 检索论文,使用 FAISS 进行语义搜索,并基于 Gemini LLM 生成循证文献综述🧬 AI-powered biomedical literature review platform that retrieves PubMed papers, performs semantic search using FAISS, and generates evidence-based literature reviews using Gemini LLM.
AI 研究工作台:提供 arXiv 论文推荐、论文/摘录文件夹,以及可将想法收藏的书签式对话窗口AI research workspace — arXiv paper recommendations, folders of papers/excerpts, and chat windows you bookmark ideas into.
一个生产级 RAG 系统,能自主决定检索方式——从本地向量库、Web 搜索或两者结合,以引用、多源综合的方式回答研究问题A production-grade RAG system that autonomously decides how to retrieve information — from a local vector store, web search, or both to answer research questions with cited, multi-source synthesis.
面向生态学文献综述的 AI 辅助流水线,内置对 iEcology 与保护生物学相关数据源(社交媒体追踪、博物馆标本记录、新闻档案)的支持。AI-assisted pipeline for ecological literature review with built-in support for data sources relevant to iEcology and conservation biology (social-media tracking, museum specimen records, news archives).
可复现研究流程,通过改造预训练 LLM tokenizer 降低尼泊尔天城文分词成本:连续/字素感知的 BPE 候选挖掘、基于边际增益的贪心词表选择、保留 ID 的 merge 拼接、基于分解的 embedding 初始化,以及 embedding-only/LoRA/CPT 适配;面向 6GB 笔记本 GPU 调优。Reproducible research pipeline that reduces Nepali Devanagari tokenization tax by retrofitting a pretrained LLM tokenizer: continued/grapheme-aware BPE candidate mining, greedy marginal-gain vocabulary selection, ID-preserving merge splicing, decomposition-based embedding init, and embedding-only/LoRA/CPT adaptation. Tuned for a 6GB laptop GPU.
一款连接 AI 助手与 Sci-Hub 的 MCP 服务器,用于自动化学术研究。专为 RAG 设计,可绕过付费墙、处理验证码、通过 OCR 提取文本,并作为循证推理的主要数据获取器An MCP server that bridges AI assistants with Sci-Hub for automated academic research. Designed for Retrieval-Augmented Generation (RAG), it bypasses paywalls, handles captchas, extracts text via OCR, and serves as the primary data-fetcher for evidence-based reasoning.
一个由 AI 驱动的科研情报平台,利用 LLM 和现代 NLP 技术,实现语义搜索、基于 RAG 的问答、文献综述生成、研究空白检测、知识图谱构建、引文管理以及科研写作辅助。An AI-powered Research Intelligence Platform that enables semantic search, RAG-based question answering, literature review generation, research gap detection, knowledge graph construction, citation management, and scientific writing assistance using LLMs and modern NLP techniques.