Primary Research Paper Repositories – The Complete Resource Guide

Looking for AI research papers but don’t know where to start? You’ve come to the right place.

This comprehensive resource guide lists the 15+ best platforms for finding AI research papers—from cutting-edge preprints to peer-reviewed publications. Whether you’re a beginner exploring AI concepts or an experienced practitioner staying current with developments, this page provides direct access to every major research repository.

All platforms listed here are free to access (unless otherwise noted). Moreover, they’re organized by category so you can quickly find exactly what you need.

Bookmark this page—it’s your complete reference for AI research discovery.

Primary Research Repositories

These platforms serve as your main sources for accessing AI research papers. They’re comprehensive, free, and updated regularly.

arXiv.org

The world’s largest preprint repository for AI and machine learning research.

Main Portal: https://arxiv.org/

Specialized Categories:

What you’ll find:

  • Preprints before formal peer review
  • Papers from top researchers worldwide
  • Daily updates with new submissions
  • Free PDF downloads
  • Papers in all AI subfields

Best for: Staying current with the latest research, accessing cutting-edge work months before journal publication, finding foundational papers.

Pro tip: Subscribe to daily email alerts for your areas of interest to stay automatically updated.

Papers with Code

Research papers linked directly to their code implementations.

Website: https://paperswithcode.com/

What you’ll find:

  • Papers linked to GitHub repositories
  • Performance benchmarks and leaderboards
  • Task-specific paper collections
  • Trending papers in the community
  • Dataset information
  • Method comparisons

Best for: Finding implementations to study or use, comparing different approaches, understanding practical performance, discovering reproducible research.

Pro tip: Browse by task (e.g., “text generation,” “image classification”) to find all relevant papers for your specific use case.

Google Scholar

Comprehensive academic search engine covering all publishers and repositories.

Website: https://scholar.google.com/

What you’ll find:

  • Papers from all academic sources
  • Citation counts and metrics
  • “Cited by” functionality
  • Author profiles
  • Related articles
  • Full-text links when available

Best for: Comprehensive searches across platforms, finding highly-cited influential papers, tracking citation networks, discovering researchers.

Pro tip: Set up alerts for specific topics or authors to receive notifications about new publications.

Semantic Scholar

AI-powered research search with intelligent summaries and recommendations.

Website: https://www.semanticscholar.org/

What you’ll find:

  • AI-generated paper summaries
  • Citation context analysis
  • Influential citations highlighted
  • Personalized research feeds
  • Figure and table extraction
  • Free PDF access when available

Best for: Efficiently screening papers, understanding citation relationships, personalized discovery, quick evaluation.

Pro tip: Create an account to build your research library and receive personalized recommendations based on papers you save.

Conference Proceedings

Papers from major AI conferences represent the highest quality peer-reviewed research. These platforms host proceedings from the field’s most prestigious venues.

NeurIPS

Neural Information Processing Systems – One of the top AI/ML conferences globally.

Website: https://papers.nips.cc/

Coverage: Machine learning, neural networks, computational neuroscience, optimization, algorithms.

Publication frequency: Annual (December)

Best for: Cutting-edge ML research, algorithmic innovations, theoretical foundations, industry applications.

ICML

International Conference on Machine Learning – Premier ML theory and applications conference.

Website: https://proceedings.mlr.press/

Coverage: Machine learning algorithms, theory, applications, statistical learning.

Publication frequency: Annual (July)

Best for: Theoretical ML research, algorithm development, learning theory, rigorous methodological work.

ACL Anthology

Complete collection of Natural Language Processing conference papers.

Website: https://aclanthology.org/

Coverage: Natural language processing, computational linguistics, language models, NLP applications.

Includes papers from: ACL, EMNLP, NAACL, COLING, EACL, and more.

Best for: NLP research, understanding language models, prompt engineering foundations, conversational AI.

CVPR

Computer Vision and Pattern Recognition – Premier computer vision conference.

Website: https://openaccess.thecvf.com/menu

Coverage: Computer vision, image processing, visual recognition, video analysis.

Publication frequency: Annual (June)

Best for: Vision AI, image/video analysis, multimodal AI, visual computing applications.

ICLR

International Conference on Learning Representations – Deep learning focused conference.

Website: https://iclr.cc/

Coverage: Deep learning, representation learning, neural architectures.

Publication frequency: Annual (May)

Best for: Deep learning innovations, representation learning, neural network research.

Curated Collections

These platforms curate and organize papers to help you discover quality research without information overload.

Hugging Face Papers

Daily curated AI papers with community discussions.

Website: https://huggingface.co/papers

What you’ll find:

  • Daily paper selections
  • Community upvoting
  • Discussion threads
  • Direct links to models
  • Related demos and implementations

Best for: Daily discovery, community insights, finding practical implementations, trending research.

Discovery Tools

These tools help you explore research networks and discover related papers systematically.

Connected Papers

Visual graphs showing relationships between research papers.

Website: https://www.connectedpapers.com/

What you’ll find:

  • Visual relationship graphs
  • Prior works identification
  • Derivative works tracking
  • Timeline views
  • Citation network visualization

Best for: Literature reviews, understanding research landscapes, finding comprehensive reading lists, mapping research evolution.

Research Rabbit

Personalized research discovery based on papers you find interesting.

Website: https://www.researchrabbit.ai/

What you’ll find:

  • Collection-based organization
  • Personalized recommendations
  • Co-authorship networks
  • Timeline visualizations
  • Related paper discovery

Best for: Building reading lists, exploring research areas systematically, tracking authors, receiving alerts for new papers.

Catalyzex

Find code implementations and summaries for any research paper.

Website: https://www.catalyzex.com/

What you’ll find:

  • Code implementation links
  • Paper summaries
  • Browser extension
  • Implementation discovery
  • Multi-platform code search

Best for: Finding implementations quickly, paper evaluation, code discovery across platforms.

Academic Journals

Peer-reviewed journals provide validated, polished research with rigorous editorial standards.

JMLR

Journal of Machine Learning Research – Open access peer-reviewed ML journal.

Website: https://jmlr.org/

Coverage: All aspects of machine learning research.

Access: Completely open access (free)

Best for: Peer-reviewed ML research, foundational papers, validated findings, comprehensive methodology.

Nature Machine Intelligence

High-impact AI research with broader scientific implications.

Website: https://www.nature.com/natmachintell/

Coverage: Interdisciplinary AI research, machine learning applications, AI policy and ethics.

Access: Some articles require subscription; many are open access.

Best for: Significant breakthroughs, interdisciplinary applications, policy-relevant research, high-impact studies.

Journal of Artificial Intelligence Research (JAIR)

Open access journal covering all areas of AI.

Website: https://www.jair.org/

Coverage: All AI subfields including machine learning, robotics, NLP, computer vision.

Access: Open access (free)

Best for: Comprehensive AI research, rigorous peer-reviewed studies, survey articles.

Additional Resources

OpenReview

Open peer review platform used by major AI conferences.

Website: https://openreview.net/

What you’ll find:

  • Conference submissions
  • Peer reviews (often public)
  • Author responses
  • Discussion forums
  • Rating and comments

Best for: Understanding peer review process, reading reviewer comments, following conference submissions.

AI Papers Newsletter Archives

MIT CSAIL Papers Digest

The Batch by DeepLearning.AI

Usage Tips

How to Use These Resources Effectively

Starting a new research topic:

  1. Use Google Scholar for comprehensive searches and finding seminal papers
  2. Check Connected Papers to visualize the research landscape
  3. Browse Papers with Code to see practical implementations

Staying current:

  1. Visit arXiv daily for your specific category
  2. Check Hugging Face Papers for curated selections
  3. Set up Google Scholar alerts for topics or authors

Implementing techniques:

  1. Start with Papers with Code
  2. Check Catalyzex for additional repositories
  3. Review Hugging Face for related models

Deep research dives:

  1. Use Semantic Scholar for AI-powered discovery
  2. Employ Research Rabbit to build collections
  3. Access conference proceedings for peer-reviewed work

Recommended Reading Routine

Daily (10-15 minutes):

  • Browse new arXiv submissions in your area
  • Check Hugging Face Papers for curated selections
  • Skim titles and abstracts

Weekly (30-60 minutes):

  • Read 1-2 papers in depth
  • Update your reading list
  • Follow interesting citations

Monthly:

  • Review conference proceedings
  • Explore new topics
  • Assess influential papers

Related Resources on Our Blog

Want to get more from AI research? Check out these guides:

Keep This Page Handy

Bookmark this comprehensive resource guide and return whenever you need to find AI research papers. All links are actively maintained and regularly updated.

Whether you’re exploring open-source AI models, building AI workflows, or simply staying current with AI developments, these platforms provide everything you need to access cutting-edge research.

Last Updated: October 2025