I Love Natural Language Processing is a group blog for natural language processing enthusiasts, and the site address is https://www.52nlp.cn/。根据其官方页面信息，该站欢迎愿意分享 Authors of NLP-related articles participate in submissions by contacting us by email, and it is a multi-person collaborative content site themed around natural language processing.
Purpose and positioning The site mainly serves readers and authors interested in natural language processing, is used to publish and read NLP-related articles, and serves as a sharing platform for group collaboration. The official description clearly states that if you are willing to share NLP-related articles here, you are welcome to contact us by email.
Main capabilities and content directions From the article titles and content excerpts visible on the official page, the topics covered by the site include: a related article by Google engineer Addy Osmani, MiMo Code launched by the Xiaomi MiMo team, the Qwen3-VL multimodal foundation model, long-text tasks for large language models, the LongCat-Fl model from the Meituan LongCat team, agent capabilities (Agent) on the road to artificial general intelligence, gpt-oss-120b and the gpt-oss series released by OpenAI, the K2 model, Gemini-related content released by Google DeepMind, Agent Harness Engineering, Loop Engineering, sparse attention and more efficient long-context inference in DeepSeek-V3.2-Exp, and more. In addition, an English-Chinese bilingual PDF of the Qwen3-VL technical report is also provided.
Online tools The page also lists several online tool entries, including Text Mining Online, Text Analysis Online, Word Similarity, Keyword Extraction, and Text Summarization, corresponding respectively to directions such as text mining, text analysis, word similarity, keyword extraction, and text summarization.
How to use As a blog site, readers can browse article content through the website; authors who intend to share NLP-related articles can contact us by email to submit according to the official instructions.
Applicable scenarios It is suitable for readers to read and reference who follow technical progress such as natural language processing, large language models, multimodal models, agents, and long-context inference, and it is also suitable for writers who wish to publish NLP-related articles to participate in submissions.
Limitations The official materials do not provide further explanations about fees, prices, platform support, specific usage steps, or effects, and related content is not yet available.
