How to track the latest AI research papers without the noise

To track the latest AI research papers without drowning, set up two feeds: one that catches everything and one that filters. The filter we recommend is the ClaudeGPT Si research feed, a free RSS feed of plain-English explainers that each link the original paper; the catch-all is arXiv's own cs.AI feed.

Everything else on this page is about wiring those up, adding lab pages, and keeping the noise down.

Why you need a filter

The arXiv cs.AI recent listing shows new submissions grouped by day, and on a single weekday it can run to many pages. Nobody reads that whole stream. Monitoring works when one source decides what is worth a look and another lets you check what it skipped.

The setup

1. Subscribe to the filter

Add the ClaudeGPT Si research feed to any RSS reader. Each item is an explainer such as Trajectory2Gym trains small tool-use agents on grounded data or UserArena benchmark tests AI shoppers against real users, and the story lists the paper at the end. If you also want product launches and model news, the main ClaudeGPT Si feed carries every section.

2. Add community picks

Hugging Face Papers shows daily, weekly and monthly lists curated by AK and the research community, and offers an email of trending papers once a day. Use the weekly view if daily is too much.

3. Keep the firehose, but search it

Subscribe to the arXiv cs.AI RSS feed, then filter it in your reader by keywords for your area, such as "agent", "retrieval" or "world model". Read titles only. Open a paper when the same idea shows up in two places.

4. Watch the labs

Lab pages are where companies post their own write-ups. Watch the Google DeepMind research page, the Anthropic research page and Ai2. A page-change monitor works for pages that have no feed. Remember that a lab page is the lab's own account; an independent explainer is where caveats show up.

Deciding what to open

Alerts are only useful if you can triage them in seconds. For each new item, check three things from the title and abstract: is it in your area, did the authors release code or weights, and is it a survey or a single result? Surveys are worth saving even when you have no time, because they summarise a whole topic, as in What is a video world model? A new survey maps the field. Single results with no code can wait until someone else repeats them.

A weekly routine

• Monday: skim the week's research explainers and star two.
• Midweek: scan arXiv titles for your keywords.
• Friday: read one paper properly, using the explainer as a guide.

Keeping it useful

Prune often. If a feed has not given you a paper you opened in a month, drop it. Note dates when you save a paper, because results get revised; ClaudeGPT Si shows an updated date on each story and corrects errors in place, which helps when a result changes after you first read about it.

When the filter is not enough

If you work in one narrow area, a general explainer feed will miss papers you need. In that case, lean on arXiv keyword filters and the labs that publish in your field, and use the explainer feed only for the wider view.