Kg-rank: Enhancing large language models for medical qa with knowledge graphs and ranking techniques
Large language models (LLMs) have demonstrated impressive generative capabilities with
the potential to innovate in medicine. However, the application of LLMs in real clinical …
the potential to innovate in medicine. However, the application of LLMs in real clinical …
[HTML][HTML] Ascle—a Python natural language processing toolkit for medical text generation: development and evaluation study
Background Medical texts present significant domain-specific challenges, and manually
curating these texts is a time-consuming and labor-intensive process. To address this …
curating these texts is a time-consuming and labor-intensive process. To address this …
A bounding box is worth one token: Interleaving layout and text in a large language model for document understanding
Recently, many studies have demonstrated that exclusively incorporating OCR-derived text
and spatial layouts with large language models (LLMs) can be highly effective for document …
and spatial layouts with large language models (LLMs) can be highly effective for document …
Evaluating large language models on Wikipedia-style survey generation
Educational materials such as survey articles in specialized fields like computer science
traditionally require tremendous expert inputs and are therefore expensive to create and …
traditionally require tremendous expert inputs and are therefore expensive to create and …