From 803059165dd385fac69cbb9002b88d95853c083d Mon Sep 17 00:00:00 2001 From: Aditya Date: Mon, 3 Feb 2025 20:06:59 +0530 Subject: 𝜏 -> tau MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- sources.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sources.md b/sources.md index bab2d2f..f8e96ba 100644 --- a/sources.md +++ b/sources.md @@ -431,7 +431,7 @@ serves as its relevance label. We employ various downstream task metrics to obtain document-level annotations and aggregate them using set-based or ranking metrics. Extensive experiments on a wide range of datasets demonstrate that eRAG achieves a higher -correlation with downstream RAG performance compared to baseline methods, with improvements in Kendall’s 𝜏 correlation ranging +correlation with downstream RAG performance compared to baseline methods, with improvements in Kendall’s tau correlation ranging from 0.168 to 0.494. Additionally, eRAG offers significant computational advantages, improving runtime and consuming up to 50 times less GPU memory than end-to-end evaluation. -- cgit v1.2.3