diff --git a/docs/source/masked.rst b/docs/source/masked.rst
index d6ae9f7d56728e9..67401946e6b467d 100644
--- a/docs/source/masked.rst
+++ b/docs/source/masked.rst
@@ -56,10 +56,10 @@ There are already a number of existing tutorials that we've written to help user
 -  `Advanced semantics - discussion on why certain decisions were made (e.g. requiring masks to match for binary/reduction operations),
    differences with NumPy's MaskedArray, and reduction semantics`_
 
-.. _Overview - the place to start for new users, discusses how to use MaskedTensors and why they're useful: https://pytorch.org/tutorials/prototype/maskedtensor_overview.html/
-.. _Sparsity - MaskedTensor supports sparse COO and CSR data and mask Tensors: https://pytorch.org/tutorials/prototype/maskedtensor_sparsity.html/
-.. _Adagrad sparse semantics - a practical example of how MaskedTensor can simplify sparse semantics and implementations: https://pytorch.org/tutorials/prototype/maskedtensor_adagrad_semantics.html>
-.. _Advanced semantics - discussion on why certain decisions were made (e.g. requiring masks to match for binary/reduction operations), differences with NumPy's MaskedArray, and reduction semantics: https://pytorch.org/tutorials/prototype/maskedtensor_advanced_semantics.html/
+.. _Overview - the place to start for new users, discusses how to use MaskedTensors and why they're useful: https://pytorch.org/tutorials/prototype/maskedtensor_overview
+.. _Sparsity - MaskedTensor supports sparse COO and CSR data and mask Tensors: https://pytorch.org/tutorials/prototype/maskedtensor_sparsity
+.. _Adagrad sparse semantics - a practical example of how MaskedTensor can simplify sparse semantics and implementations: https://pytorch.org/tutorials/prototype/maskedtensor_adagrad
+.. _Advanced semantics - discussion on why certain decisions were made (e.g. requiring masks to match for binary/reduction operations), differences with NumPy's MaskedArray, and reduction semantics: https://pytorch.org/tutorials/prototype/maskedtensor_advanced_semantics
 
 Supported Operators
 +++++++++++++++++++