r/ResearchML

Hi all,
Im a highschooler doing finance research and am almost done. Does anyone have any advice for who should look at it and also where I should submit it to?

If you've ever tried to submit to arXiv without an institutional affiliation, you know the pain. You need an endorsement from someone already active in your target category. But if you don't have a university network, you're basically cold-emailing strangers and hoping for the best. Most people never hear back. I personally get a lot of dm's.

I built a free page where independent researchers can submit their paper details and request an endorsement: trybibby.com/request-arxiv-endorsements

It covers CS, math, and stats categories (cs.AI, cs.LG, cs.CL, stat.ML, etc). But can cover any categories based on mentors.

But here's where I need the community's help.

The request side is live. Now I need researchers who are willing to review these requests and endorse people with legitimate work. Think of it like a marketplace — researchers post requests, mentors browse and decide who to endorse. No obligation, no pressure. You just see the paper title, abstract, and category, and decide if the work is worth endorsing. I will be emailing any new requests that come through.

If you're an established researcher and want to help, sign up here: trybibby.com/become-arxiv-mentor

It takes 2 minutes. You'll be able to see incoming requests in your field and choose who to endorse on your own time. Also helps to find collaborators?

I was also thinking of a collaborative google sheet ? what do you think is the best?

Has anyone here endorsed someone before? What made you say yes or no?

I am an aspiring undergrad researcher and recently started doing multiple research internships. I am really enjoying the experience, but I am also finding it quite overwhelming, especially when it comes to keeping track of concepts.

For context, I am currently working on two to three research projects in LLMs across different subdomains. Each project involves reading papers, identifying datasets, proposing ideas, and eventually running experiments. The challenge is that I tend to work on one project for a few days, then switch to another, and keep alternating like this.

When I come back to a previous project, I often feel like I have to spend a lot of time revising what I had done earlier before I can continue. This makes the process feel inefficient and not very scalable in the long run.

I feel like having a structured note taking system or workflow could help, but I am not sure what works best in a research setting.

How do you keep track of concepts, papers, and ideas across multiple projects without losing context? Are there specific tools, methods, or systems that have worked well for you?

This question is open to people from any field, not just CS, since I am interested in general research workflows as well.

Hey! I’m doing a short research survey about moral dilemmas for a project, the goal is to see the difference between what humans and LLMS think about morality . It only takes about 5–7 minutes, and it would really help me if you could fill it in. There are no right or wrong answers —just your honest opinion. Thanks a lot! 🙏

hi, can anyone help me in generating turnitin report for my research as soon as possible for free? it's very very very urgent.