{"title":"大型语言模型中空间关系判断的失真","authors":"Nir Fulman, Abdulkadir Memduhoğlu, Alexander Zipf","doi":"10.1080/00330124.2024.2372792","DOIUrl":null,"url":null,"abstract":"We present a benchmark for assessing the capability of large language models (LLMs) to discern intercardinal directions between geographic locations and apply it to three prominent LLMs: GPT-3.5, G...","PeriodicalId":501059,"journal":{"name":"The Professional Geographer","volume":"13 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distortions in Judged Spatial Relations in Large Language Models\",\"authors\":\"Nir Fulman, Abdulkadir Memduhoğlu, Alexander Zipf\",\"doi\":\"10.1080/00330124.2024.2372792\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a benchmark for assessing the capability of large language models (LLMs) to discern intercardinal directions between geographic locations and apply it to three prominent LLMs: GPT-3.5, G...\",\"PeriodicalId\":501059,\"journal\":{\"name\":\"The Professional Geographer\",\"volume\":\"13 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Professional Geographer\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/00330124.2024.2372792\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Professional Geographer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/00330124.2024.2372792","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distortions in Judged Spatial Relations in Large Language Models
We present a benchmark for assessing the capability of large language models (LLMs) to discern intercardinal directions between geographic locations and apply it to three prominent LLMs: GPT-3.5, G...
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