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Hugging Face Daily Papers

Hugging Face Daily Papers

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186 Upvotes

About

The Hugging Face Daily Papers page serves as a hub for discovering trending research papers in the field of AI/ML. It presents a curated list of papers, categorized by daily, weekly, and monthly trends. Each paper entry includes its title, the submitter's name, the number of authors, and sometimes an affiliated institution like Peking University or Tsinghua University. Users have the option to subscribe to receive daily updates of trending papers directly in their email inbox. The page also provides navigation to other core Hugging Face sections such as Models, Datasets, and Spaces.


Color Palette

Background White

#FFFFFF

70%

Text Black

#000000

20%

Hugging Face Blue (Links/Branding)

#00BFFF

5%

Subtle Gray (Secondary Text)

#6c757d

5%

Typography

Sans-serif

Headings and Body Text

Aa

Design Review

The design of the Hugging Face Daily Papers page is highly effective, prioritizing clarity and ease of information access. It adopts a clean, minimalist aesthetic with a predominantly light theme, featuring dark text on a white background, which ensures excellent readability for academic content. The layout is straightforward and uncluttered, allowing users to quickly scan paper titles and relevant metadata. The consistent use of Hugging Face's distinctive blue for links and branding elements provides a cohesive visual identity. Overall, the design is functional, modern, and user-friendly, successfully guiding users to discover and engage with research papers without unnecessary distractions.

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