3 research outputs found
Can ChatGPT pass the Vietnamese National High School Graduation Examination?
This research article highlights the potential of AI-powered chatbots in
education and presents the results of using ChatGPT, a large language model, to
complete the Vietnamese National High School Graduation Examination (VNHSGE).
The study dataset included 30 essays in the literature test case and 1,700
multiple-choice questions designed for other subjects. The results showed that
ChatGPT was able to pass the examination with an average score of 6-7,
demonstrating the technology's potential to revolutionize the educational
landscape. The analysis of ChatGPT performance revealed its proficiency in a
range of subjects, including mathematics, English, physics, chemistry, biology,
history, geography, civic education, and literature, which suggests its
potential to provide effective support for learners. However, further research
is needed to assess ChatGPT performance on more complex exam questions and its
potential to support learners in different contexts. As technology continues to
evolve and improve, we can expect to see the use of AI tools like ChatGPT
become increasingly common in educational settings, ultimately enhancing the
educational experience for both students and educators.Comment: 9 pages, 13 figures, 4 table
VNHSGE: VietNamese High School Graduation Examination Dataset for Large Language Models
The VNHSGE (VietNamese High School Graduation Examination) dataset, developed
exclusively for evaluating large language models (LLMs), is introduced in this
article. The dataset, which covers nine subjects, was generated from the
Vietnamese National High School Graduation Examination and comparable tests.
300 literary essays have been included, and there are over 19,000
multiple-choice questions on a range of topics. The dataset assesses LLMs in
multitasking situations such as question answering, text generation, reading
comprehension, visual question answering, and more by including both textual
data and accompanying images. Using ChatGPT and BingChat, we evaluated LLMs on
the VNHSGE dataset and contrasted their performance with that of Vietnamese
students to see how well they performed. The results show that ChatGPT and
BingChat both perform at a human level in a number of areas, including
literature, English, history, geography, and civics education. They still have
space to grow, though, especially in the areas of mathematics, physics,
chemistry, and biology. The VNHSGE dataset seeks to provide an adequate
benchmark for assessing the abilities of LLMs with its wide-ranging coverage
and variety of activities. We intend to promote future developments in the
creation of LLMs by making this dataset available to the scientific community,
especially in resolving LLMs' limits in disciplines involving mathematics and
the natural sciences.Comment: 74 pages, 44 figure
Single-phase multilevel inverter based on switched-capacitor structure
This study proposes a new topology for multilevel inverters based on switched-capacitor structure. The proposed topology uses capacitor charged/discharged characteristic to boost the output voltage without employing magnetic elements. The proposed circuit configuration has fewer components, including switches, voltage sources, and capacitors comparing with the conventional similar topologies. A phase disposition pulse-width modulation method is used to enhance the output waveform quality of the proposed inverter. Nine-level and 17-level configurations are simulated. To verify the operating principle, the experimental results for a nine-level inverter topology are presented