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Mahammed Abdelfattah

moThecarpenter80
yehors-cv's profile picture
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AI & ML interests

NLP, Computer vision , Deep learning

Recent Activity

liked a Space 11 days ago
build-small-hackathon/CodeFlow
reacted to m-ric's post with 🤯 over 1 year ago
We now have a Deep Research for academia: SurveyX automatically writes academic surveys nearly indistinguishable from human-written ones 🔥 Researchers from Beijing and Shanghai just published the first application of a deep research system to academia: their algorithm, given a question, can give you a survey of all papers on the subject. To make a research survey, you generally follow two steps, preparation (collect and organize papers) and writing (outline creation, writing, polishing). Researchers followed the same two steps and automated them. 🎯 For the preparation part, a key part is find all the important references on the given subject. Researchers first cast a wide net of all relevant papers. But then finding the really important ones is like distilling knowledge from a haystack of information. To solve this challenge, they built an “AttributeTree” object that structures key information from citations. Ablating these AttributeTrees significantly decreased structure and synthesis scores, so they were really useful! 📝 For the writing part, key was to get a synthesis that's both short and true. This is not easy to get with LLMs! So they used methods like LLM-based deduplication to shorten the too verbose listings made by LLMs, and RAG to grab original quotes instead of made-up ones. As a result, their system outperforms previous approaches by far! As assessed by LLM-judges, the quality score os SurveyX even approaches this of human experts, with 4.59/5 vs 4.75/5 🏆 I advise you to read the paper, it's a great overview of the kind of assistants that we'll get in the short future! 👉 https://huggingface.co/papers/2502.14776 Their website shows examples of generated surveys 👉 http://www.surveyx.cn/
reacted to fdaudens's post with 🔥 over 1 year ago
🚀 Just launched: A toolkit of 20 powerful AI tools that journalists can use right now - transcribe, analyze, create. 100% free & open-source. Been testing all these tools myself and created a searchable collection of the most practical ones - from audio transcription to image generation to document analysis. No coding needed, no expensive subscriptions. Some highlights I've tested personally: - Private, on-device transcription with speaker ID in 100+ languages using Whisper - Website scraping that just works - paste a URL, get structured data - Local image editing with tools like Finegrain (impressive results) - Document chat using Qwen 2.5 72B (handles technical papers well) Sharing this early because the best tools come from the community. Drop your favorite tools in the comments or join the discussion on what to add next! 👉 https://huggingface.co/spaces/JournalistsonHF/ai-toolkit
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