{"title":"负责将大型语言模型 (LLM) 整合到海军作战计划生成中","authors":"Simon Kapiamba, H. Fouad, Ira S. Moskowitz","doi":"10.1609/aaaiss.v3i1.31179","DOIUrl":null,"url":null,"abstract":"This paper outlines an approach for assessing and quantifying\nthe risks associated with integrating Large Language Models\n(LLMs) in generating naval operational plans. It aims to explore\nthe potential benefits and challenges of LLMs in this\ncontext and to suggest a methodology for a comprehensive\nrisk assessment framework.","PeriodicalId":516827,"journal":{"name":"Proceedings of the AAAI Symposium Series","volume":"18 16","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Responsible Integration of Large Language Models (LLMs) in Navy Operational Plan Generation\",\"authors\":\"Simon Kapiamba, H. Fouad, Ira S. Moskowitz\",\"doi\":\"10.1609/aaaiss.v3i1.31179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper outlines an approach for assessing and quantifying\\nthe risks associated with integrating Large Language Models\\n(LLMs) in generating naval operational plans. It aims to explore\\nthe potential benefits and challenges of LLMs in this\\ncontext and to suggest a methodology for a comprehensive\\nrisk assessment framework.\",\"PeriodicalId\":516827,\"journal\":{\"name\":\"Proceedings of the AAAI Symposium Series\",\"volume\":\"18 16\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the AAAI Symposium Series\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1609/aaaiss.v3i1.31179\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the AAAI Symposium Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1609/aaaiss.v3i1.31179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Responsible Integration of Large Language Models (LLMs) in Navy Operational Plan Generation
This paper outlines an approach for assessing and quantifying
the risks associated with integrating Large Language Models
(LLMs) in generating naval operational plans. It aims to explore
the potential benefits and challenges of LLMs in this
context and to suggest a methodology for a comprehensive
risk assessment framework.