Is your feature request related to a problem? Please describe.
The current categorization of articles assumes a non-combinatorial of keywords to differentiate the categories. For the Coarse-grained causal reasoner and active learning repositories, this assumption will not hold.
Describe the solution you'd like
Instead of non-combinatorial tabs that filter articles, it would be great to have keywords, tags, or labels that can be used to filter articles in a combinatorial way (e.g., LLMs AND dynamic graphs AND retrieval augmentation as opposed to only LLMs or only dynamics graphs or only retrieval augmentation).
Is your feature request related to a problem? Please describe.
The current categorization of articles assumes a non-combinatorial of keywords to differentiate the categories. For the Coarse-grained causal reasoner and active learning repositories, this assumption will not hold.
Describe the solution you'd like
Instead of non-combinatorial tabs that filter articles, it would be great to have keywords, tags, or labels that can be used to filter articles in a combinatorial way (e.g., LLMs AND dynamic graphs AND retrieval augmentation as opposed to only LLMs or only dynamics graphs or only retrieval augmentation).