MLNLP-World/Top-AI-Conferences-Paper-with-Code

What this project is

A GitHub repository that gathers research papers from top AI conferences and links each one to its open-source code. The idea: papers often can't spell out every implementation detail, so having the code alongside makes the work easier to understand, verify, and build on.

What's inside

• Papers from nine major AI conferences: ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML.
• Coverage spans roughly 2019–2025 for most conferences, with ICLR also including 2026. Some conferences have gaps in certain years (e.g., NAACL has no 2020 or 2023 entries; COLING has no 2019, 2021, or 2023).
• Each conference/year has its own markdown file listing papers and their code links.

Why it exists

The maintainers explain that conference papers are typically too short to cover all implementation details. Open-source code provides extra information that makes results reproducible and easier to follow up on. This repo organizes those paper–code pairs so people can quickly find and reference them.

How it's maintained

• Open to contributions: anyone can submit additions or corrections via issues or pull requests.
• The project is still being built (status badge says "building").
• Some data is sourced from external sites like DBLP, ACL Anthology, NIPS, OpenReview, and Papers with Code.
• A disclaimer notes that if any content raises copyright concerns, the maintainers will remove it on request.

Recent updates (from the log)

• 2026.7.2: Refreshed the README, added a 2026 entry point, and added Chinese descriptions.
• 2026.7.1: Added ICLR 2025 and ICLR 2026 paper–code lists.

Who's behind it

The project lists over 20 contributors, each with a profile image and GitHub link. It's part of the MLNLP-World organization.

In short

A community-maintained index that pairs AI conference papers with their open-source code, making research easier to reproduce and explore.