How to automatically monitor new ML research papers on Arxiv by keyword

With the deluge of around 10,000 new machine learning papers on Arxiv each month, manually keeping up with advancements in specific areas is virtually impossible. This new tool, an Arxiv scraper built on Apify, allows users to automate monitoring by setting up keyword searches for topics like "diffusion models" or "RLHF". It runs on a schedule, delivering structured output including paper details and links, making it easy to integrate into existing workflows. This is a game-changer for researchers aiming to stay ahead without getting buried in endless browsing.