Much Ado about Real Time to Answer: A Comparative Evaluation of Large Language Models Across Workloads Sorin FaibishIEEE Computer(2026)SCI 4区Newton被引用0|浏览0摘要A comprehensive real-time-to-answer-based comparison of leading large language models reveals how architectural choices like streaming, retrieval, and reasoning depth impact latency across diverse real-world workloads.更多查看译文上传PDF原文链接分享引用加入学术空间AI Read Science数据免责声明页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cnChat Paper正在生成论文摘要