diff --git a/content/20.results.md b/content/20.results.md
index c66f6ff..f7d7034 100644
--- a/content/20.results.md
+++ b/content/20.results.md
@@ -90,7 +90,7 @@ Some smaller models perform better than larger ones, even within the same model
 B) Comparison of the two benchmark tasks for KG querying show the superior performance of BioChatter's prompt engine (0.813±0.15 vs 0.459±0.13, p = 1.3e-20).
 The BioChatter variant involves a multi-step procedure of constructing the query, while the "naive" version only receives the complete schema definition of the BioCypher KG (which BioChatter also uses as a basis for the prompt engine).
 The general instructions for both variants are the same, otherwise.
-](images/biochatter-benchmark.png "Benchmark results"){#fig:benchmark}
+](images/biochatter_benchmark.png "Benchmark results"){#fig:benchmark}
 
 ### Knowledge Graphs