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ChatGPT is Good but Bing Chat is Better for Vietnamese Students

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arxiv 2307.08272 v3 pith:G7HPKGPX submitted 2023-07-17 cs.CL

classification cs.CL
keywords chatgptbingchatbingchatexhibitsstudentsvietnameseanalysis
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This study examines the efficacy of two SOTA large language models (LLMs), namely ChatGPT and Microsoft Bing Chat (BingChat), in catering to the needs of Vietnamese students. Although ChatGPT exhibits proficiency in multiple disciplines, Bing Chat emerges as the more advantageous option. We conduct a comparative analysis of their academic achievements in various disciplines, encompassing mathematics, literature, English language, physics, chemistry, biology, history, geography, and civic education. The results of our study suggest that BingChat demonstrates superior performance compared to ChatGPT across a wide range of subjects, with the exception of literature, where ChatGPT exhibits better performance. Additionally, BingChat utilizes the more advanced GPT-4 technology in contrast to ChatGPT, which is built upon GPT-3.5. This allows BingChat to improve to comprehension, reasoning and generation of creative and informative text. Moreover, the fact that BingChat is accessible in Vietnam and its integration of hyperlinks and citations within responses serve to reinforce its superiority. In our analysis, it is evident that while ChatGPT exhibits praiseworthy qualities, BingChat presents a more apdated solutions for Vietnamese students.

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  1. Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens

    cs.CL 2025-08 conditional novelty 6.0 of 10

    LoDIT jointly generates answers and document attributions by treating the logits of document-identifier tokens, after debiasing fine-tuning, as per-token contribution scores.

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