Papers by Minh-Nam Tran
ViGLUE: A Vietnamese General Language Understanding Benchmark and Analysis of Vietnamese Language Models (2024.findings-naacl)
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| Challenge: | Existing benchmarks for natural language understanding have been suggested, but there is a lack of such a benchmark in Vietnamese due to the difficulty in accessing datasets or the scarcity of task-specific datasets. |
| Approach: | They propose to use a benchmark to evaluate Vietnamese language models in a variety of tasks and areas to explore the relationship between specific tasks and the number of shots. |
| Outcome: | The proposed benchmark contains twelve tasks and encompasses over ten areas and subjects, enabling it to evaluate models comprehensively over a broad spectrum of aspects. |
ViMedAQA: A Vietnamese Medical Abstractive Question-Answering Dataset and Findings of Large Language Model (2024.acl-srw)
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| Challenge: | Existing abstractive question-answering datasets in Vietnamese are lacking . |
| Approach: | They propose to introduce a Vietnamese abstractive question-answering corpus to address this gap . they propose to use Vietnamese abstractives to generate answers to questions . |
| Outcome: | The proposed dataset examines the capability of large language models in the Vietnamese medical domain, including reasoning, memorizing and awareness of essential information. |