Thanks, you're right, I've already got this remark before. I'll see what I can do, hopefully with the open source community (since I'm a bit taken these moments) :)

Thanks for your comments :)

I've used tensor-based search before using Faiss Index and finetuned bert models (it's still in the code). As I mentioned in my article, that slowed down a bit the process since, each time a field is chosen, the bert model is loaded and took about 4 seconds more. That's why I switched to TF IDF. But I plan to optimize the tensor-search part more (I'll check Marqot!), hopefully with the help of the open source community :)

I'm afraid I didn't considered it in my processed papers then. But I'm planning to get and process more papers, hopefully with help of the open source community!

I'm afraid there is not. I thought people are generally interested into the most recent papers

As I explain in the medium article, it's mainly Tf Idf that is used. I've used language models but it was a bit slow to process. The code is available if you want to take a peek :) But I'll see what I can do!

Sorting by date would not change anything if the initial results are already sorted.

For the results, you need to click on the result to get the structured abstract along with the title. The results showed are just the sentences that might be relevant to your research, classified as objectives, methods or results.

For the structured abstract, did you try other results ?

On the website, under the "custom" tab.

Using the naimai Package, you can check the github repo :)

There are recent papers (2022). But no I've processed the papers before with the algorithms, as detailed on the Github page :)