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Thanks! 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.

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> an LLM implementation wouldn't be sustainable

Also not the right tool for the job. Not everything has to be a LLM.

Yes 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.

Exactly, 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.

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