Artok

Artok is a research paper discovery platform designed to help practitioners, researchers, and students efficiently find and manage cutting-edge AI and machine learning literature. It aggregates papers from leading AI/ML conferences and venues, enabling users to quickly discover relevant work, stay current with new publications, and organize important references in one place. The platform focuses on simplifying the process of exploring complex research landscapes so users can spend more time reading and applying insights rather than searching for them.

Key features of Artok include advanced search and filtering tools that let users narrow results by conference, topic, or other metadata, as well as personalized feeds that surface papers aligned with a user’s interests. Users can save and bookmark papers into collections for later review, making it easier to build curated reading lists or project-specific libraries. The interface supports rapid exploration, with direct access to abstracts, metadata, and links to full texts when available. Artok also emphasizes discoverability, suggesting related papers and helping users uncover influential works they might otherwise miss.