Summaries are less interesting than my getting the information in the first place. My general hierarchy for sifting is:
Title -> Abstract -> skim directly to the section(s) that are most interesting or answer a question I have.
For most papers, I can gauge interest based on the title. But there are so many!
I have a secondary problem of being able to find research on a topic: quantitative linguistics. Arxiv has a category on Computation and Linguistics, but it is mostly LLMs.
Hey I am curious what's your current process? And would you like to input and output?
I am actually building something targeting content overwhelm and automating the curation process.
You can join the whitelist here: https://collate.one/preview
If you're a MacOS user I can give you free access to pilot version to try?
Also if you wanna get daily summaries of the papers you have you can also try this small app I built: https://collate.one/newsletter
Keen to know more about your problem...
Summaries are less interesting than my getting the information in the first place. My general hierarchy for sifting is:
Title -> Abstract -> skim directly to the section(s) that are most interesting or answer a question I have.
For most papers, I can gauge interest based on the title. But there are so many!
I have a secondary problem of being able to find research on a topic: quantitative linguistics. Arxiv has a category on Computation and Linguistics, but it is mostly LLMs.
Yup, so you'd like to:
1. Given your resources, be able to the filter out the sections that are relevant to your topic of interest 2. Find resources that related to a topic
In order of severity pain points, is this correct? What is the goal of your research?
What the newsletter app does: it groups materials in up to 5 topics and generates an article for each topic based on the resources you've provided