F-AI Friday
公众号:F-AI Friday FDUYouth
WeChat Official Account: F-AI Friday FDUYouth
小红书:F-AI Friday (49276167656)
RedNote: F-AI Friday (49276167656)
F-AI Friday联合创始人。面向全国高校青年开放的 AI 大型交流社群,也是一系列持续发生的线下活动。我们提倡真实的问题,欢迎尚未想明白的问题,也欢迎对热门观点的质疑。面对真实的人。研究者、工程师、产品经理、创业者、投资人、行业从业者,以及刚刚入门的学生,都可以坐到同一张桌子前。倡议真实的交流,嘉宾分享不是活动的终点,而是讨论的起点。目前已举办线下活动共2场,社群规模500+人,变化将持续发生...
Co-founder of F-AI Friday. It is a large-scale AI exchange community open to young people across universities in China, as well as a continuing series of offline events. We encourage real questions, including questions that are still unresolved, and welcome challenges to popular views. We face real people: researchers, engineers, product managers, entrepreneurs, investors, industry practitioners, and students just beginning their AI journeys can all sit at the same table. We advocate genuine exchange: a guest talk is not the endpoint of an event, but the starting point for discussion. To date, the community has hosted 2 offline events and grown to 500+ members, with more change still unfolding...
面向法学生、青年学者与法律从业者的智能化机会发现系统,聚焦论文征稿、学术会议、课题申报、奖学金、实习招聘、访学交流等高价值信息。平台以“多源采集—结构化清洗—语义识别—智能推荐”为基本链路,将分散在高校、期刊、学会、科研机构和法律实务部门中的机会信息,转化为可检索、可比较、可追踪的数据资源。其底层逻辑类似搜索系统的抓取、索引与结果呈现机制,即先发现并解析信息,再建立索引,最终根据用户需求返回相关结果。
An intelligent opportunity-discovery system for law students, early-career scholars, and legal professionals, focusing on high-value information such as calls for papers, academic conferences, research grants, scholarships, internships, recruitment, visiting-scholar programs, and exchange opportunities. The platform follows a pipeline of multi-source collection, structured cleaning, semantic recognition, and intelligent recommendation, turning scattered information from universities, journals, academic associations, research institutions, and legal practice organizations into searchable, comparable, and trackable data resources. Its logic resembles a search system: discover and parse information, build indexes, and return relevant results according to user needs.
在撰写论文、研究报告和法律文书时,不同数据库导出的参考文献通常无法直接符合中文法学引注习惯。为减少重复修改格式的工作,我开发了“法引 · Citation CN”。
法引支持批量识别 GB/T 7714、BibTeX 和 RIS 文献,覆盖图书、期刊、文集、网页、学位论文、法律文件、司法案例以及常见英文文献,并依据 2019 年《法学引注手册》生成建议格式。用户还可以逐项核对作者、标题、年份、页码等字段,实时预览并复制结果。
工具完全在浏览器本地运行,不上传文献数据。目前项目已开源,欢迎试用、提交问题或参与改进。
Citation CN is an open-source tool designed to reduce the repetitive work involved in formatting citations for Chinese legal writing.
It recognizes GB/T 7714 references, BibTeX records, and RIS data, and converts them into suggested citation formats based on the 2019 Chinese Legal Citation Manual. It supports books, journal articles, edited collections, webpages, theses, legislation, judicial decisions, and commonly used English-language sources.
Users can review individual fields, preview the formatted citation in real time, and copy the result with one click. All processing takes place locally in the browser, so citation data is not uploaded to a server.