Do you research? Can you write?
We're looking for researchers and practitioners who can explain their corner of ML clearly, honestly, and without the usual hype.
What we publish
Paper breakdowns
A thorough walkthrough of a recent arXiv paper — method, results, and what it actually means.
Concept explainers
Building intuition for a technique, architecture, or idea from first principles.
Field surveys
Mapping a subfield — what's been tried, what works, what's still open.
Reproducibility reports
You ran the experiments from a paper. What did you actually find?
Press release rewrites
We don't run announcements dressed as analysis.
Promotional content
No product reviews, no affiliate content, no sponsored posts.
How to submit
Send a pitch
Email submissions@mlmpapers.com with: your proposed topic, a 2–3 sentence summary of your argument, and a link to something you've written before (blog, paper, anything).
We reply within a week
If it's a fit, we'll say yes and agree on a rough angle and length. If not, we'll tell you why — which might help you refine for next time.
Write the draft
Aim for 1,500–3,000 words. Cite your sources. Show your working. We'd rather have too much detail than too little.
Edit together
We edit for clarity, not voice. Your perspective stays intact — we just make sure the argument lands.