仓库/Skill 库

内置知识库 · 2.4 亿文献源 · PDF 全文翻译零配置 · 无插件网页版 app.ai4paper.pro · AI 速搜文献 · AI 一键综述 · 小程序期刊订阅 · 原生支持 Zotero 7–10 | AI4Paper.pro

用于获取和校验 DOI 与 shortDOI 的 Zotero 扩展。Zotero extension to retrieve and validate DOIs and shortDOIs

📚 AIGC 求职面经、必备基础知识、提示词工程、ChatGPT、Stable Diffusion、Prompt、Embedding、Fintune 等 AIGC 求职你所需要知道的一切~

Open Paper 是用于管理研究文献库的工作台，集阅读、批注与理解于一体，可借助 AI 助手开展文献综述Open Paper is a workbench for managing your research library. Read, annotate, and understand your papers all in one place. Use an AI assistant to conduct your literature review.

该 Web 应用基于 OpenAlex（OA）、Semantic Scholar（S2）与 Crossref（CR）的元数据，结合本地引文网络，辅助科研人员开展文献综述This web app aims to help scientists with their literature review using metadata from OpenAlex (OA), Semantic Scholar (S2) and Crossref (CR) in local citation networks.

Bango 是一款跨平台桌面应用，可自动化并加速系统文献综述、范围综述与元分析中的筛选阶段Bango is a cross-platform desktop application that automates and accelerates the screening phase of systematic literature reviews, scoping reviews, and meta-analyses.

CorePapers - 面向留学生的 AI 学术写作助手CorePapers - AI Academic Writing Assistant for International Students

基于 specter2 + BERTopic 的 arXiv 论文发现——通过 embedding 检索与主题聚类实现每日论文推荐。arXiv paper discovery with specter2 + BERTopic — embedding-based retrieval and topic clustering for daily paper recommendations.

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.

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.

基于关键词反馈的每日 arXiv 论文推荐Daily arXiv paper recommendations with keyword feedback

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.

PaperClaw 是面向公共管理学者的 AI 研究助手，可帮助用户检索相关文献、定位文本关键概念、获取全文证据、回答研究问题并提出潜在想法，覆盖从检索到洞察的全流程。PaperClaw is an AI research assistant for public administration scholars. It helps users find relevant literature, locate key concepts in texts, retrieve full-text evidence, answer research questions, and suggest potential ideas, improving efficiency from search to insight.

用于文献综述的本地优先 Chrome 扩展：保存文章、生成 AI 摘要、与 Gemini 进行有依据的对话、记录丰富笔记，并导出带样式的 Excel 文件。A local-first Chrome extension for literature reviews: save articles, AI summaries, grounded chat with Gemini, rich notes, and styled Excel exports.

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

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.

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.

本地优先、证据优先的研究工作区：CLI 与 Web UI 用于管理来源、论断、引用、产物、研究问题与项目记忆；默认确定性执行，AI 功能仅在显式启用时启用Local-first, evidence-first research workspace: CLI and web UI for managing sources, claims, citations, artefacts, research questions, and project memory. Deterministic by default; AI features are explicit opt-in only.

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.

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.

超强版 PDF 阅读器PDF Reader superpowered

用于生成文献综述的全栈系统，基于导入的数据构建，用户可自由选择 LLM。A full stack system use to generate literature review base on dataa imported, users can choose between llms.

面向 AI 饮食评估研究的 3 周入门计划：文献综述、分割、LLM 与 RAG。3-week onboarding plan for AI dietary assessment research: literature review, segmentation, LLMs, and RAG

NLP 案例研究NLP Case Study

文献综述站点Literature review site

FinHop 是专为机构股票分析打造的多跳金融研究助手。它摄取 SEC 文件（10-K、10-Q），将其建模为时序感知、按公司组织的检索图，并回答需要跨多份文档、多家公司与多个财周期证据的对比与趋势类研究问题。FinHop is a multi-hop financial research assistant purpose-built for institutional equity analysis. It ingests SEC filings — 10-Ks, 10-Qs ,models them as a time-aware, company-aware retrieval graph, and answers comparative and trend-based research questions that require evidence from across multiple documents, companies, and fiscal periods.

开发一个研究论文推荐系统，分析关键词、摘要、引用与用户兴趣以推荐相关论文。该系统使用图算法、相似度排序和优化技术，为研究者和学生提供个性化建议。Here's a version with **exactly 300 characters**: > Develop a research paper recommendation system that analyzes keywords, abstracts, citations, and user interests to recommend relevant papers. It uses graph algorithms, similarity ranking, and optimization techniques to deliver personalized suggestions for researchers and students.

系统综述与 Meta 分析的检索、提取与分析代码，主题为基于可穿戴设备生命体征的被动认证。Retrieval, Extraction and Analysis Code for a Systematic Review and Meta-Analysis on Passive Authentication using Vital Signs Collected Via Wearable Devices