diff --git a/task.md b/task.md
index 77a1499..bb4bd5b 100644
--- a/task.md
+++ b/task.md
@@ -12,5 +12,5 @@ transformation-representing displacement vectors as results, a set of displaceme
 
 Participant teams are expected to make use of the sequential data and potentially make knowledge transfer from other domains such as computer vision and computer-assisted intervention. The participant teams are expected to take US scan as input and output two sets of pixel displacement vectors, indicating the transformation to reference frame, i.e., first frame in this task. The evaluation process will take the generated displacement vectors from their dockerized models, and produce the final accuracy score to represent the reconstruction performance, at local and global levels, representing different clinical application of the reconstruction methods.
 
-We have provide two baseline algorithms adapted from [Prevost et al. 2018](https://doi.org/10.1016/j.media.2018.06.003) and [Li et al. 2023](https://doi.org/10.1109/TBME.2023.3325551) on this [repo](https://github.com/QiLi111/tus-rec-challenge_baseline).
+We have provide two baseline algorithms adapted from [Prevost et al. 2018](https://doi.org/10.1016/j.media.2018.06.003) and [Li et al. 2023](https://doi.org/10.1109/TBME.2023.3325551) in this [repo](https://github.com/QiLi111/tus-rec-challenge_baseline).