𝜏 -> tau

1 files changed, 1 insertions, 1 deletions

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.