Xuefei Ning

Nov 17, 2023 | microsoft.com | Xuefei Ning |Zinan Lin |Brenda Potts

Large language models (LLMs) such as LLaMA and OpenAI’s GPT-4 are revolutionizing technology. However, one of the common complaints about LLMs is their speed, or lack thereof. In many cases, it takes a long time to get an answer from them. This limits LLMs’ applications and their usefulness in latency-critical functions, such as chatbots, copilots, and industrial controllers.

Feb 11, 2023 | arxiv.org | Xuefei Ning |Matthew B. Blaschko

[Submitted on 11 Feb 2023 (v1), last revised 20 Mar 2024 (this version, v5)] Title:Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels Download a PDF of the paper titled Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels, by Zifu Wang and Xuefei Ning and Matthew B. Blaschko Download PDF HTML (experimental) Abstract:Intersection over Union (IoU) losses are surrogates that directly optimize the Jaccard index.