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Can ChatGPT Pass Modern Control Theory Exam?
http://hdl.handle.net/10228/0002001347
http://hdl.handle.net/10228/0002001347fffc8306-795d-407d-a6b7-1de60ab8480b
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
10448563.pdf (2 MB)
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| アイテムタイプ | 共通アイテムタイプ(1) | |||||||||||
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| 公開日 | 2025-02-18 | |||||||||||
| タイトル | ||||||||||||
| タイトル | Can ChatGPT Pass Modern Control Theory Exam? | |||||||||||
| 言語 | en | |||||||||||
| 著者 |
Ogo, Itsuki
× Ogo, Itsuki
× 古賀, 雅伸
WEKO
5954
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| 著作権関連情報 | ||||||||||||
| 権利情報 | Copyright (c) 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |||||||||||
| 抄録 | ||||||||||||
| 内容記述タイプ | Abstract | |||||||||||
| 内容記述 | Large language models (LLMs), such as GPT models, have been rapidly studied in recent years and are expected to be applied to academic fields such as mathematics and engineering. In this study, we examined how accurately ChatGPT (GPT-4o) can answer modern control theory questions at the undergraduate-level. A set of 98 questions on modern control theory was used to evaluate GPT-4o’s problem-solving ability on modern control theory. The results revealed that the GPT-4o showed a 49.0% correct response rate to the undergraduate-level modern control theory exercises, and that the correct response rate tended to be lower for problems involving calculations, especially those that require step-by-step thinking and complex computation. This may be attributed to the Transformer architecture of the GPT model, which generates answers based on probabilistic predictions. In this study, we proposed a method to improve response accuracy by developing a customized GPT which leverages prompt engineering methods to address these issues. In order to evaluate the proposed method, a question set consisting of 45 graduate school entrance exam questions on modern control theory was developed. The results of the evaluation showed that the correct response rate was improved by 26.6 points, yielding a 64.4% correct response rate. | |||||||||||
| 言語 | en | |||||||||||
| 備考 | ||||||||||||
| 内容記述タイプ | Other | |||||||||||
| 内容記述 | 2024 24th International Conference on Control, Automation and Systems, ICCAS 2024, October 29 - November 1, 2024, Jeju Shinhwa World, Jeju, Korea | |||||||||||
| 言語 | en | |||||||||||
| 書誌情報 |
en : 2024 24th International Conference on Control, Automation and Systems (ICCAS) 発行日 2024-12-09 |
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| 出版社 | ||||||||||||
| 出版者 | IEEE | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | ChatGPT | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Modern Control Theory | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Generative AI | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | GPTs | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | GPT-4o | |||||||||||
| 言語 | ||||||||||||
| 言語 | eng | |||||||||||
| 資源タイプ | ||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||
| 資源タイプ | journal article | |||||||||||
| 出版タイプ | ||||||||||||
| 出版タイプ | AM | |||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||
| DOI | ||||||||||||
| 識別子タイプ | DOI | |||||||||||
| 関連識別子 | https://doi.org/10.23919/ICCAS63016.2024.10773183 | |||||||||||
| ISBN | ||||||||||||
| 識別子タイプ | ISBN | |||||||||||
| 関連識別子 | 978-89-93215-38-0 | |||||||||||
| ISSN | ||||||||||||
| 収録物識別子タイプ | EISSN | |||||||||||
| 収録物識別子 | 2642-3901 | |||||||||||
| 会議記述 | ||||||||||||
| 会議名 | 2024 24th International Conference on Control, Automation and Systems, ICCAS 2024 | |||||||||||
| 言語 | en | |||||||||||
| 回次 | 24 | |||||||||||
| 開始年 | 2024 | |||||||||||
| 開始月 | 10 | |||||||||||
| 開始日 | 29 | |||||||||||
| 終了年 | 2024 | |||||||||||
| 終了月 | 11 | |||||||||||
| 終了日 | 01 | |||||||||||
| 開催国 | KOR | |||||||||||
| 研究者情報 | ||||||||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/230_ja.html | |||||||||||
| 論文ID（連携） | ||||||||||||
| 値 | 10448563 | |||||||||||
| 連携ID | ||||||||||||
| 値 | 13024 | |||||||||||
