There are some materials about "how to read scientific paper", like the pdf one from U waterloo [3] with some methodological advice. Some good advice in this ol

There are some materials about "how to read scientific paper", like the pdf one from U waterloo [3] with some methodological advice. Some good advice in this old HN thread [1] But I don't see the point of reading a scientific paper unless you're actually curious about a specific topic. They are often hard to read, dense, have so many field-specific jargon that if you're new, you won't be able to read one paper and grasp everything. You would have to read references, or a book/blog that summaries core points. So find a specific field you're interested in, find a good book/blog/homepage/tutorial/video to get your basics going so that when you start reading papers you won't be completely lost. Then find a highly cited survey paper to understand what progress have been made beyond what is now basic. Then you can follow your curiously along that survey, decide a branch of research to read upon. You'll probably then realize that a few labs research/publish a lot in a specific direction. Now you can follow those professors (Twitter, Google scholar email notification) to keep up to date. By reading a lot you'll also start to notice papers that are "published just to get my PhD" and soon enough you can just read abstract + intro/result to judge if it is valuable or not. If ML/LLM is your curiosity probably Lillian Wengs blog [2] is a good start for tutorials / surveys. [1] https://news.ycombinator.com/item?id=24986727 https://news.ycombinator.com/item?id=24986727 [2] https://lilianweng.github.io/ https://lilianweng.github.io/ Edit: direct link [3] https://web.stanford.edu/class/ee384m/Handouts/HowtoReadPaper.pdf https://web.stanford.edu/class/ee384m/Handouts/HowtoReadPape...