{"title":"LM4OPT：挖掘大型语言模型在数学优化问题中的潜力","authors":"Tasnim Ahmed, Salimur Choudhury","doi":"10.1080/03155986.2024.2388452","DOIUrl":null,"url":null,"abstract":"In the fast-paced domain of natural language processing, converting linguistic descriptions into mathematical optimization problems is a complex task, requiring profound comprehension and processin...","PeriodicalId":13645,"journal":{"name":"Infor","volume":"25 1","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"LM4OPT: Unveiling the potential of Large Language Models in formulating mathematical optimization problems\",\"authors\":\"Tasnim Ahmed, Salimur Choudhury\",\"doi\":\"10.1080/03155986.2024.2388452\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the fast-paced domain of natural language processing, converting linguistic descriptions into mathematical optimization problems is a complex task, requiring profound comprehension and processin...\",\"PeriodicalId\":13645,\"journal\":{\"name\":\"Infor\",\"volume\":\"25 1\",\"pages\":\"\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infor\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1080/03155986.2024.2388452\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infor","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/03155986.2024.2388452","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
LM4OPT: Unveiling the potential of Large Language Models in formulating mathematical optimization problems
In the fast-paced domain of natural language processing, converting linguistic descriptions into mathematical optimization problems is a complex task, requiring profound comprehension and processin...
期刊介绍：
INFOR: Information Systems and Operational Research is published and sponsored by the Canadian Operational Research Society. It provides its readers with papers on a powerful combination of subjects: Information Systems and Operational Research. The importance of combining IS and OR in one journal is that both aim to expand quantitative scientific approaches to management. With this integration, the theory, methodology, and practice of OR and IS are thoroughly examined. INFOR is available in print and online.
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