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dair-ai/ai-papers-of-the-week

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TLDR

A weekly human-curated archive of notable AI and machine learning research papers maintained by DAIR.AI, covering deep learning, NLP, and trending AI research from 2023 onward.

Mindmap

mindmap
  root((AI Papers Weekly))
    What It Is
      Curated paper list
      Weekly archive
      DAIR.AI maintained
    Topics Covered
      Deep learning
      NLP research
      Trending AI papers
    Format
      Links to papers
      Short descriptions
      Organized by week
    Also Available
      Substack newsletter
    Audience
      AI researchers
      ML practitioners
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Code map

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Things people build with this

USE CASE 1

Browse past weeks to catch up on AI research you missed without sorting through all published papers yourself

USE CASE 2

Use the archive to trace when a specific AI concept or technique first attracted community attention

USE CASE 3

Subscribe to the DAIR.AI Substack newsletter to receive the same weekly selections by email

USE CASE 4

Use as a reading list starting point when getting up to speed on a new area of machine learning

Getting it running

Difficulty · easy Time to first run · 5min

In plain English

This repository is a weekly curated list of notable AI research papers, maintained by the DAIR.AI organization. Each week the team reviews papers published in the field of machine learning and artificial intelligence, then highlights the ones they consider most significant. The lists are organized by year and week, going back several years, so the repository functions as a running archive of what was considered worth reading at each point in time. The content is entirely editorial, meaning there is no code, tool, or application here. It is a collection of links and short descriptions pointing to research papers. If you follow AI research and want a human-filtered shortlist rather than sorting through everything published each week, this is what the repository provides. DAIR.AI also runs a newsletter called NLP News on Substack where the same weekly selections are delivered by email. The repository exists alongside that newsletter as a browsable GitHub-hosted version of the same content. The topics covered span machine learning broadly, with a focus on deep learning, natural language processing, and the kind of research that tends to get attention in the AI community week to week. The repository does not explain or summarize the papers itself, it links to them and names them, so readers still need to go read the papers directly. If you are looking for a way to track what is happening in AI research without building your own reading list from scratch, this repository offers a maintained starting point. The archive covers 2023 onward based on the structure visible in the README.

Copy-paste prompts

Prompt 1
Based on the DAIR AI Papers of the Week archive, summarize the most common research themes from the past three months
Prompt 2
Help me find papers about retrieval-augmented generation highlighted in the DAIR AI weekly lists during 2024
Prompt 3
I want a reading list of AI safety papers, help me identify which weeks in the DAIR archive featured relevant work
Prompt 4
Using the DAIR Papers of the Week titles as context, help me write a brief on what the AI community was focused on in Q1 2024
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