diff --git a/monai/losses/nacl_loss.py b/monai/losses/nacl_loss.py
index f96e85464c..b5ffcd66cd 100644
--- a/monai/losses/nacl_loss.py
+++ b/monai/losses/nacl_loss.py
@@ -174,7 +174,7 @@ class NACLLoss(_Loss):
 
     Murugesan, Balamurali, et al.
     "Trust your neighbours: Penalty-based constraints for model calibration."
-    International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023.
+    International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023.
     https://arxiv.org/abs/2303.06268
     """
 
@@ -191,6 +191,7 @@ def __init__(
         """
         Args:
             classes: number of classes
+            dim: dimension of data (supports 2d and 3d)
             kernel_size: size of the spatial kernel
             distance_type: l1/l2 distance between spatial kernel and predicted logits
             alpha: weightage between cross entropy and logit constraint
diff --git a/tests/test_nacl_loss.py b/tests/test_nacl_loss.py
index f0853269f9..608da95301 100644
--- a/tests/test_nacl_loss.py
+++ b/tests/test_nacl_loss.py
@@ -170,9 +170,7 @@ class TestNACLLoss(unittest.TestCase):
     def test_result(self, input_param, input_data, expected_val):
         loss = NACLLoss(**input_param)
         result = loss(**input_data)
-        np.testing.assert_allclose(
-            result.detach().cpu().numpy(), expected_val, atol=1e-4, rtol=1e-4
-        )
+        np.testing.assert_allclose(result.detach().cpu().numpy(), expected_val, atol=1e-4, rtol=1e-4)
 
 
 if __name__ == "__main__":