2024年美赛时间、新增在COMAP竞赛中使用大型语言模型和生成式AI工具

2024年美赛官网：https://www.contest.comap.com/undergraduate/contests/mcm/instructions.php

MCM: The Mathematical Contest in Modeling
ICM: The Interdisciplinary Contest in Modeling

Contest Rules, Registration and Instructions

竞赛规则、报名和说明

February 1-5, 2024

2024年2月1日至5日

(All rules and instructions apply to both ICM and MCM contests.)

(所有规则和说明适用于ICM和MCM比赛。)

RECENT CHANGES TO THE MCM/ICM RULES ARE HIGHLIGHTED IN RED

MCM / ICM规则的最新更改以红色突出显示

COMAP'S Mathematical Contest in Modeling (MCM)® / Interdisciplinary Contest in Modeling (ICM)® is an international contest designed to provide undergraduate students with the opportunity to work as team members to engage in and improve their modeling, problem solving, and writing skills. Teams apply mathematics to model, develop, and communicate a solution to a real-world problem.
COMAP的数学建模竞赛(MCM)®/跨学科建模竞赛(ICM)®是一项国际竞赛，旨在为本科生提供作为团队成员参与和提高建模，解决问题和写作技能的机会。团队将数学应用于建模、开发和沟通现实世界问题的解决方案。

NEW： Use of Large Language Models and Generative AI Tools in COMAP Contests
This policy is motivated by the rise of large language models (LLMs) and generative AI assisted technologies. The policy aims to provide greater transparency and guidance to teams, advisors, and judges. This policy applies to all aspects of student work, from research and development of models (including code creation) to the written report. Since these emerging technologies are quickly evolving, COMAP will refine this policy as appropriate.

最新：在COMAP竞赛中使用大型语言模型和生成式AI工具

这一政策是由大型语言模型(llm)和生成式人工智能辅助技术的兴起推动的。该政策旨在为团队、顾问和评委提供更大的透明度和指导。这项政策适用于学生工作的所有方面，从模型的研究和开发(包括代码创建)到书面报告。由于这些新兴技术正在迅速发展，COMAP将适当地完善这一政策。

2024 Contest Dates and Times:

2024年比赛日期和时间:

• registration Deadline: Before 3:00 p.m. EST on Thursday, February 1, 2024.

• 报名截止时间:美国东部时间2024年2月1日(星期四)下午3点前。
  

• Contest Starts: 5:00 p.m. EST on Thursday, February 1, 2024.

• 比赛开始时间:美国东部时间2024年2月1日星期四下午5点。
  

• Contest Ends: 8:00 p.m. EST on Monday, February 5, 2024.

• 比赛结束时间:美国东部时间2024年2月5日星期一晚上8点。
  

• Solution Report Deadline: 9:00 p.m. EST on Monday, February 5, 2024.

• 解决方案报告截止日期:美国东部时间2024年2月5日(周一)晚上9点。
  

• Contest Results: Results will be available on or before May 31, 2024.

• 竞赛结果:结果将于2024年5月31日或之前公布。

MCM/ICM Rules, Registration, and Instructions

MCM/ICM规则、注册和说明

During the Contest - Use of Large Language Models and Generative AI Tools in COMAP Contests

竞赛期间-在COMAP竞赛中使用大型语言模型和生成式AI工具

This policy is motivated by the rise of large language models (LLMs) and generative AI assisted technologies. The policy aims to provide greater transparency and guidance to teams, advisors, and judges. This policy applies to all aspects of student work, from research and development of models (including code creation) to the written report. Since these emerging technologies are quickly evolving, COMAP will refine this policy as appropriate.这一政策是由大型语言模型(llm)和生成式人工智能辅助技术的兴起推动的。该政策旨在为团队、顾问和评委提供更大的透明度和指导。这项政策适用于学生工作的所有方面，从模型的研究和开发(包括代码创建)到书面报告。由于这些新兴技术正在迅速发展，COMAP将适当地完善这一政策。

Teams must be open and honest about all their uses of AI tools. The more transparent a team and its submission are, the more likely it is that their work can be fully trusted, appreciated, and correctly used by others. These disclosures aid in understanding the development of intellectual work and in the proper acknowledgement of contributions. Without open and clear citations and references of the role of AI tools, it is more likely that questionable passages and work could be identified as plagiarism and disqualified.

团队必须公开和诚实地使用人工智能工具。团队及其提交的内容越透明，他们的工作就越有可能被其他人完全信任、赞赏和正确使用。这些披露有助于理解智力工作的发展和正确承认贡献。如果没有对人工智能工具作用的公开和清晰的引用和参考，有问题的段落和工作更有可能被认定为抄袭并被取消资格。

Solving the problems does not require the use of AI tools, although their responsible use is permitted. COMAP recognizes the value of LLMs and generative AI as productivity tools that can help teams in preparing their submission; to generate initial ideas for a structure, for example, or when summarizing, paraphrasing, language polishing etc. There are many tasks in model development where human creativity and teamwork is essential, and where a reliance on AI tools introduces risks. 

解决这些问题不需要使用人工智能工具，尽管允许负责任地使用它们。COMAP认识到LLMs和生成式AI作为生产力工具的价值，可以帮助团队准备提交;为一个结构产生最初的想法，例如，在总结、释义、语言润色等时。在模型开发的许多任务中，人类的创造力和团队合作是必不可少的，对人工智能工具的依赖会带来风险。

Therefore, we advise caution when using these technologies for tasks such as model selection and building, assisting in the creation of code, interpreting data and results of models, and drawing scientific conclusions.

因此，我们建议在将这些技术用于诸如模型选择和构建、协助创建代码、解释模型的数据和结果以及得出科学结论等任务时要谨慎。