Hi everyone, I have been playing with a few new AI tools for literature reviews that you might like: - Seamless https://seaml.es/ - Semantic Scholar https://semanticscholar.org - Epsilon https://epsilon.ai/ I hope you find them useful. Source: 6 months ago

I rely mostly on Microsoft Academic Search. I find an article I need and then usually Google the exact title followed by filetype:pdf. For example: "Toward creating a fairer ranking in search engine results" filetype:pdf. Other services that are helpful from a discovery standpoint include ResearchGate, Academia.edu, and semanticscholar.org. Source: almost 3 years ago

Hello! Check out our Research Feeds beta on semanticscholar.org, based in part on the arxiv-sanity.com work. From any paper you can select "Research Feed" to start a feed. Source: about 3 years ago

Papers We Love (PWL) is a community built around reading, discussing and learning more about academic computer science papers. This repository serves as a directory of some of the best papers the community can find, bringing together documents scattered across the web. You can also visit the Papers We Love site for more info. - Source: dev.to / 6 months ago

You might be interested in https://paperswelove.org. Source: about 1 year ago

Public Service Announcement. Reading research papers is so important for your growth and career, please put in a process to do it at least once in a month or two. (I will try to write a blog post about why it is important, and how to go about it, since I see there is a big need for this.) Papers We Love is a great resource, https://paperswelove.org/, if you like to get involved in a community to dip your feet into... - Source: Hacker News / about 1 year ago

Want to make sure you’re aware of https://paperswelove.org/. Source: about 1 year ago

It’s not a subreddit, but check out https://paperswelove.org/. My local group is great. Source: over 2 years ago