Cool Papers
Discover the latest AI papers from NeurIPS, CVPR, ICLR, and more. Browse by category (cs.AI, cs.CL, cs.CV, cs.LG) and venue. Updated daily.
Editor's Verdict
Key Takeaways
- Search Papers
- Venue Filtering
- Category Browsing
- Paper Details
In-Depth Review: What is Cool Papers?
AI Paper Explorer provides a streamlined interface to search and explore AI research papers from top venues. Whether you're interested in artificial intelligence, natural language processing, computer vision, or machine learning, filter by your preferred category and venue. Stay ahead with the latest breakthroughs from AAAI, ACL, CVPR, EMNLP, ICLR, NeurIPS, and many others. Designed for quick discovery, powered by kimi.ai.
Core Features
Search Papers
Quickly search for papers across top AI and ML venues using keywords.
Venue Filtering
Filter search results by specific conferences and journals like NeurIPS, ICML, CVPR, etc.
Category Browsing
Browse papers by arXiv categories such as cs.AI, cs.CL, cs.CV, and cs.LG.
Paper Details
View full metadata including authors, abstract, and publication date.
Copy & Share
Easily copy paper details or share them with Kimi AI for further analysis.
AI Assistant (Kimi)
Get AI-powered explanations and summaries of research papers via Kimi.
Pricing
Free
- Unlimited paper searches
- Venue and category filters
- View paper details
- Copy and share functionality
- Kimi AI integration
Pros and Cons
Pros
- Comprehensive Venue CoverageCovers all major AI/ML venues, making it easy to find papers from top conferences.
- Fast and Simple SearchLightning-fast search with straightforward filters for quick discovery.
- AI-Enhanced FeaturesIntegrated Kimi AI helps users understand complex papers without leaving the platform.
- Up-to-Date ContentIncludes recent papers like those from 2026, ensuring access to the latest research.
- No CostAll features are free, making it accessible to everyone.
Cons
- Limited to CS FieldsFocuses on artificial intelligence and machine learning, lacking other scientific domains.
- No Full-Text AccessProvides metadata only; users may need to visit external sites for full papers.
- Basic Filtering OptionsFilters are limited to venue and category; no advanced search by author or year.
- Single Paper FocusThe pricing page shows only one paper, implying limited browsing of multiple papers at once.
- No User AccountsNo personalization or saved searches; all usage is session-based.
Use Cases & Recommended Professions
Machine Learning Researcher→ View Toolkit
Quickly find and review the latest papers from top venues to stay updated on breakthroughs.
Data Scientist→ View Toolkit
Discover relevant research papers to apply state-of-the-art methods in data analysis projects.
Graduate Student (CS/AI)→ View Toolkit
Efficiently search for literature and gather citations for thesis work.
Quantitative Analyst→ View Toolkit
Access research on machine learning in finance, such as the featured paper on quantum kernels.
AI Engineer→ View Toolkit
Find implementation-ready algorithms from conference papers for product development.
Professor / Lecturer→ View Toolkit
Easily compile reading lists or track recent work in specific subfields.
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ℹ️ Curation Disclosure: The overview and features of Cool Papers were synthesized using AI and fact-checked by our curation team to ensure accuracy.
