In this repository, we present GENERanno, a genomic foundation model featuring a context length of 8k base pairs and 500M parameters, trained on an expansive dataset comprising 386 billion base pairs ...
Abstract: This paper proposes an image annotation framework for power equipment based on human-machine collaboration and thinking chain guidance, aimed at improving the accuracy and efficiency of ...
The core of AEGIS is its custom class system, which models the hierarchical nature of genomic annotations. This object-oriented approach provides several key advantages over traditional, line-by-line ...
Abstract: Public health researchers are increasingly interested in using social media data to study health-related behaviors, but manually labeling this data can be labor-intensive and costly. This ...
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