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arXiv · 2412.05499

SplaXBERT: Leveraging Mixed Precision Training and Context Splitting for Question Answering

Zhu Yufan·Hao Zeyu·Li Siqi·Niu Boqian
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Abstract

SplaXBERT, built on ALBERT-xlarge with context-splitting and mixed precision training, achieves high efficiency in question-answering tasks on lengthy texts. Tested on SQuAD v1.1, it attains an Exact Match of 85.95% and an F1 Score of 92.97%, outperforming traditional BERT-based models in both accuracy and resource efficiency.

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Zhu Yufan, Hao Zeyu, Li Siqi, Niu Boqian. 2024-12-07. SplaXBERT: Leveraging Mixed Precision Training and Context Splitting for Question Answering. https://arxiv.org/abs/2412.05499

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