diff --git a/docs/src/solvers/NonlinearLeastSquaresSolvers.md b/docs/src/solvers/NonlinearLeastSquaresSolvers.md
index af7e66588..7e9facfd3 100644
--- a/docs/src/solvers/NonlinearLeastSquaresSolvers.md
+++ b/docs/src/solvers/NonlinearLeastSquaresSolvers.md
@@ -11,14 +11,14 @@ Solves the nonlinear least squares problem defined by `prob` using the algorithm
 
 ## Full List of Methods
 
-- `LevenbergMarquardt()`: An advanced Levenberg-Marquardt implementation with the
-  improvements suggested in the [paper](https://arxiv.org/abs/1201.5885) "Improvements to
-  the Levenberg-Marquardt algorithm for nonlinear least-squares minimization". Designed for
-  large-scale and numerically-difficult nonlinear systems.
-- `GaussNewton()`: An advanced GaussNewton implementation with support for efficient
-  handling of sparse matrices via colored automatic differentiation and preconditioned
-  linear solvers. Designed for large-scale and numerically-difficult nonlinear least squares
-  problems.
+  - `LevenbergMarquardt()`: An advanced Levenberg-Marquardt implementation with the
+    improvements suggested in the [paper](https://arxiv.org/abs/1201.5885) "Improvements to
+    the Levenberg-Marquardt algorithm for nonlinear least-squares minimization". Designed for
+    large-scale and numerically-difficult nonlinear systems.
+  - `GaussNewton()`: An advanced GaussNewton implementation with support for efficient
+    handling of sparse matrices via colored automatic differentiation and preconditioned
+    linear solvers. Designed for large-scale and numerically-difficult nonlinear least squares
+    problems.
 
 ## Example usage