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This is legitimately useful! How does it track what a user has already viewed? Is it just showing articles from the current day in order? If I get to a day I've
by qnleigh 2y ago
This is legitimately useful! How does it track what a user has already viewed? Is it just showing articles from the current day in order? If I get to a day I've viewed previously, will it start showing me articles that I've already viewed once? I've been hesitant to touch my filter search term since I don't want to start over.
More customization to what papers it shows you could be very useful. You could keep track of user likes and employ a recommendation algorithm. Or better yet, the user could provide a custom prompt, which an LLM would use to filter and/or recommend papers.
- Miguel07Code 2y agoThanks! I don't track anything; it just shows sorted papers from the current date. Maybe I'll implement a basic recommendation algorithm locally, because right now, an LLM implementation wouldn't be sustainable.
- worksonmine 2y ago> an LLM implementation wouldn't be sustainable Also not the right tool for the job. Not everything has to be a LLM.
- qnleigh 2y agoYes definitely not. But I think this could be a legitimately good use case if it were implementable. Filtering based on keywords will throw away papers of interest, while a recommendation algorithm wouldn't give you much control over content. But a language model could probably do a decent job of ranking a days worth of papers based on relevance to a short description of your research interests. I'm in a field where there are 50+ postings a day, but only 5-10% are relevant to my focus. A good filter would save me a lot of tedium. But OP says it wouldn't be sustainable to implement, so that's that. Maybe will try this myself and see how it goes.
- Miguel07Code 2y agoExactly, I think that in this case using ML models that are experts in papers can be more useful and that type of models can run locally so it's the best option.