Although the curse of multilinguality significantly restricts the language
abilities of multilingual models in monolingual settings, researchers now still
have to rely on multilingual models to develop state-of-the-art systems in
Vietnamese Machine Reading Comprehension. This difficulty in researching is
because of the limited number of high-quality works in developing Vietnamese
language models. In order to encourage more work in this research field, we
present a comprehensive analysis of language weaknesses and strengths of
current Vietnamese monolingual models using the downstream task of Machine
Reading Comprehension. From the analysis results, we suggest new directions for
developing Vietnamese language models. Besides this main contribution, we also
successfully reveal the existence of artifacts in Vietnamese Machine Reading
Comprehension benchmarks and suggest an urgent need for new high-quality
benchmarks to track the progress of Vietnamese Machine Reading Comprehension.
Moreover, we also introduced a minor but valuable modification to the process
of annotating unanswerable questions for Machine Reading Comprehension from
previous work. Our proposed modification helps improve the quality of
unanswerable questions to a higher level of difficulty for Machine Reading
Comprehension systems to solve.

通过机器阅读理解任务全面分析现有越南语单语模型的语言优势与弱势，提出新的模型开发方向；同时也发现了越南语阅读理解基准测试中的人工错误，建议使用更高 - quality 的基准测试来追踪越南语阅读理解技术的进展。此外，作者还对先前的问题注释过程进行了宝贵的修改，提高了问题难度以帮助机器阅读理解系统。