cogint
/

in-boxbart

@@ -21,6 +21,11 @@ You may want to check out
 This work explores the impact of instructional prompts on biomedical Multi-Task Learning. We introduce the BoX, a collection of 32 instruction tasks for Biomedical NLP across (X) various categories. Using this meta-dataset, we propose a unified model termed In-BoXBART, that can jointly learn all tasks of the BoX without any task-specific modules. To the best of our knowledge, this is the first attempt to
 propose a unified model in the biomedical domain and use instructions to achieve generalization across several biomedical tasks.
 How to Use
 =============

 This work explores the impact of instructional prompts on biomedical Multi-Task Learning. We introduce the BoX, a collection of 32 instruction tasks for Biomedical NLP across (X) various categories. Using this meta-dataset, we propose a unified model termed In-BoXBART, that can jointly learn all tasks of the BoX without any task-specific modules. To the best of our knowledge, this is the first attempt to
 propose a unified model in the biomedical domain and use instructions to achieve generalization across several biomedical tasks.
+Direct Use
+=============
+It is possible to use this model to generate text, which is useful for experimentation and understanding its capabilities. **It should not be directly used for production or work that may directly impact people.**
 How to Use
 =============