# High-precision reading comprehension

A Vietnamese Q&A model fine-tuned on the XLM-RoBERTa-base architecture, excelling on the UIT-ViQuAD dataset

A German Q&A model fine-tuned based on electra-base-german-uncased, trained on a self-built German Q&A dataset (deQuAD)

Italian BERT base version fine-tuned on Italian SQuAD for Q&A downstream tasks

This is a BART-LARGE model fine-tuned for QA tasks on the SQuADv1 dataset, suitable for natural language understanding and generation tasks.

This is a bart-large model fine-tuned on the SQuADv2 dataset for question-answering tasks, based on the BART architecture, suitable for natural language understanding and generation tasks.

BART-based extractive QA model trained on Squad 2.0 dataset with an F1 score of 87.4

A German question-answering model fine-tuned based on the GELECTRA Large architecture, excelling on German MLQA and XQUAD datasets