Articles tagged research tools on InferenceWeekly. This page gathers everything we have filed under the term — one article at the last count — from paper explainers to the engineering notes that follow once the code is in front of you.
Each piece follows the same shape. It says what the authors actually did, which baseline they compared against and whether that baseline is the right one for the claim, and whether the artifact runs when you pull it. Where a result depends on a dataset version, a hyperparameter or a particular GPU, the piece says so in the body rather than burying it in a footnote. If the reported gain only shows up under a compute budget you do not have, that is the first thing we mention.
Tags are deliberately narrow, so an archive is the fastest way to see how one idea has developed across the literature we cover. Read the oldest entry first if you want the original framing, or the newest if you want our current position on it. Every tag carries its own feed, so you can follow research tools without subscribing to the whole site.
Reproducibility comes first. Is there a repository, are the seeds and splits specified, does the headline number survive a smaller machine? We check the arithmetic on the tables, look at what the ablation actually ablates, and flag a weak baseline in the piece instead of quietly dropping the result. Entries that cannot answer those questions are labelled as a preprint claim rather than a finding, and we link the artifact so you can settle it yourself.
If you want the method behind a result rather than the headline, start with the research digest guide; if you want the shorter briefing that lands every few hours, the news guide explains what goes there and how it is sourced. Corrections and paper tips are always welcome on the contact page.
A recent retrieval of arXiv’s cs. AI listing returned a query string asking for 50 results, a category breadcrumb reading “Condensed Matter > Materials Science,” and two paragraphs of arXivLabs boilerplate.
AI research and scientific papers translated for working engineers: the method before the result, the baseline flagged when it is weak, and a link to the artifact every time.
The research that actually changes what you build.
The paper trail
