diff --git a/src/numpy-stubs/_core/einsumfunc.pyi b/src/numpy-stubs/_core/einsumfunc.pyi
index 17d101d2..d1ee7aeb 100644
--- a/src/numpy-stubs/_core/einsumfunc.pyi
+++ b/src/numpy-stubs/_core/einsumfunc.pyi
@@ -25,6 +25,7 @@ __all__ = ["einsum", "einsum_path"]
 
 _ArrayT = TypeVar("_ArrayT", bound=_nt.Array[_nt.co_complex])
 
+# TODO (@jorenham): Annotate the `Sequence` value (numpy/numtype#724)
 _OptimizeKind: TypeAlias = bool | Literal["greedy", "optimal"] | Sequence[Incomplete]
 _CastingSafe: TypeAlias = Literal["no", "equiv", "safe", "same_kind"]
 _CastingUnsafe: TypeAlias = Literal["unsafe"]
@@ -41,7 +42,7 @@ def einsum(
     /,
     *operands: _ArrayLikeBool_co,
     out: None = None,
-    optimize: _OptimizeKind | None = None,
+    optimize: _OptimizeKind = False,
     dtype: _DTypeLikeBool | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
@@ -55,7 +56,7 @@ def einsum(
     dtype: _DTypeLikeUInt | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
-    optimize: _OptimizeKind | None = None,
+    optimize: _OptimizeKind = False,
 ) -> Incomplete: ...
 @overload
 def einsum(
@@ -66,7 +67,7 @@ def einsum(
     dtype: _DTypeLikeInt | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
-    optimize: _OptimizeKind | None = None,
+    optimize: _OptimizeKind = False,
 ) -> Incomplete: ...
 @overload
 def einsum(
@@ -77,7 +78,7 @@ def einsum(
     dtype: _DTypeLikeFloat | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
-    optimize: _OptimizeKind | None = None,
+    optimize: _OptimizeKind = False,
 ) -> Incomplete: ...
 @overload
 def einsum(
@@ -88,7 +89,7 @@ def einsum(
     dtype: _DTypeLikeComplex | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
-    optimize: _OptimizeKind | None = None,
+    optimize: _OptimizeKind = False,
 ) -> Incomplete: ...
 @overload
 def einsum(
@@ -99,7 +100,7 @@ def einsum(
     dtype: _DTypeLikeComplex_co | None = None,
     out: None = None,
     order: _OrderKACF = "K",
-    optimize: _OptimizeKind | None = None,
+    optimize: _OptimizeKind = False,
 ) -> Incomplete: ...
 @overload
 def einsum(
@@ -110,7 +111,7 @@ def einsum(
     dtype: _DTypeLikeComplex_co | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
-    optimize: _OptimizeKind | None = None,
+    optimize: _OptimizeKind = False,
 ) -> _ArrayT: ...
 @overload
 def einsum(
@@ -121,7 +122,7 @@ def einsum(
     casting: _CastingUnsafe,
     dtype: _DTypeLikeComplex_co | None = None,
     order: _OrderKACF = "K",
-    optimize: _OptimizeKind | None = None,
+    optimize: _OptimizeKind = False,
 ) -> _ArrayT: ...
 @overload
 def einsum(
@@ -132,7 +133,7 @@ def einsum(
     dtype: _DTypeLikeObject | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
-    optimize: _OptimizeKind | None = None,
+    optimize: _OptimizeKind = False,
 ) -> Incomplete: ...
 @overload
 def einsum(
@@ -143,7 +144,7 @@ def einsum(
     dtype: _DTypeLikeObject | None = None,
     out: None = None,
     order: _OrderKACF = "K",
-    optimize: _OptimizeKind | None = None,
+    optimize: _OptimizeKind = False,
 ) -> Incomplete: ...
 @overload
 def einsum(
@@ -154,7 +155,7 @@ def einsum(
     dtype: _DTypeLikeObject | None = None,
     order: _OrderKACF = "K",
     casting: _CastingSafe = "safe",
-    optimize: _OptimizeKind | None = None,
+    optimize: _OptimizeKind = False,
 ) -> _ArrayT: ...
 @overload
 def einsum(
@@ -165,13 +166,12 @@ def einsum(
     casting: _CastingUnsafe,
     dtype: _DTypeLikeObject | None = None,
     order: _OrderKACF = "K",
-    optimize: _OptimizeKind | None = None,
+    optimize: _OptimizeKind = False,
 ) -> _ArrayT: ...
 
+# TODO (@jorenham): Annotate the `Sequence` value (numpy/numtype#724)
 # NOTE: `einsum_call` is a hidden kwarg unavailable for public use.
 # It is therefore excluded from the signatures below.
-# NOTE: In practice the list consists of a `str` (first element)
-# and a variable number of integer tuples.
 def einsum_path(
     subscripts: str | _ArrayLikeInt_co,
     /,
diff --git a/src/numpy-stubs/_core/fromnumeric.pyi b/src/numpy-stubs/_core/fromnumeric.pyi
index bb537d90..12cd0429 100644
--- a/src/numpy-stubs/_core/fromnumeric.pyi
+++ b/src/numpy-stubs/_core/fromnumeric.pyi
@@ -230,7 +230,7 @@ def matrix_transpose(x: ArrayLike, /) -> _nt.Array[Incomplete]: ...
 def partition(
     a: _nt._ToArray_nd[_ScalarT],
     kth: _nt.ToInteger_nd,
-    axis: CanIndex | None = None,
+    axis: CanIndex | None = -1,
     kind: _PartitionKind = "introselect",
     order: _Order | None = None,
 ) -> _nt.Array[_ScalarT]: ...
@@ -238,7 +238,7 @@ def partition(
 def partition(
     a: ArrayLike,
     kth: _nt.ToInteger_nd,
-    axis: CanIndex | None = None,
+    axis: CanIndex | None = -1,
     kind: _PartitionKind = "introselect",
     order: _Order | None = None,
 ) -> _nt.Array[Incomplete]: ...
@@ -266,7 +266,7 @@ def sort(
 def sort(
     a: _nt.CanArray0D[_ScalarT],
     axis: None,
-    kind: CanIndex | None = -1,
+    kind: CanIndex | None = None,
     order: _Order | None = None,
     *,
     stable: bool | None = None,
diff --git a/src/numpy-stubs/_core/numeric.pyi b/src/numpy-stubs/_core/numeric.pyi
index e899bc4e..470fd66e 100644
--- a/src/numpy-stubs/_core/numeric.pyi
+++ b/src/numpy-stubs/_core/numeric.pyi
@@ -2075,34 +2075,34 @@ def correlate(
 
 #
 @overload
-def convolve(a: _nt.ToBool_1d, v: _nt.ToBool_1d, mode: _Mode = "valid") -> _nt.Array1D[np.bool]: ...
+def convolve(a: _nt.ToBool_1d, v: _nt.ToBool_1d, mode: _Mode = "full") -> _nt.Array1D[np.bool]: ...
 @overload
-def convolve(a: _nt.ToUInteger_1d, v: _nt.CoUInt64_1d, mode: _Mode = "valid") -> _nt.Array1D[np.unsignedinteger]: ...
+def convolve(a: _nt.ToUInteger_1d, v: _nt.CoUInt64_1d, mode: _Mode = "full") -> _nt.Array1D[np.unsignedinteger]: ...
 @overload
-def convolve(a: _nt.CoUInt64_1d, v: _nt.ToUInteger_1d, mode: _Mode = "valid") -> _nt.Array1D[np.unsignedinteger]: ...
+def convolve(a: _nt.CoUInt64_1d, v: _nt.ToUInteger_1d, mode: _Mode = "full") -> _nt.Array1D[np.unsignedinteger]: ...
 @overload
-def convolve(a: _nt.ToSInteger_1d, v: _nt.CoInt64_1d, mode: _Mode = "valid") -> _nt.Array1D[np.signedinteger]: ...
+def convolve(a: _nt.ToSInteger_1d, v: _nt.CoInt64_1d, mode: _Mode = "full") -> _nt.Array1D[np.signedinteger]: ...
 @overload
-def convolve(a: _nt.CoInt64_1d, v: _nt.ToSInteger_1d, mode: _Mode = "valid") -> _nt.Array1D[np.signedinteger]: ...
+def convolve(a: _nt.CoInt64_1d, v: _nt.ToSInteger_1d, mode: _Mode = "full") -> _nt.Array1D[np.signedinteger]: ...
 @overload
-def convolve(a: _nt.ToFloating_1d, v: _nt.CoFloating_1d, mode: _Mode = "valid") -> _nt.Array1D[np.floating]: ...
+def convolve(a: _nt.ToFloating_1d, v: _nt.CoFloating_1d, mode: _Mode = "full") -> _nt.Array1D[np.floating]: ...
 @overload
-def convolve(a: _nt.CoFloating_1d, v: _nt.ToFloating_1d, mode: _Mode = "valid") -> _nt.Array1D[np.floating]: ...
+def convolve(a: _nt.CoFloating_1d, v: _nt.ToFloating_1d, mode: _Mode = "full") -> _nt.Array1D[np.floating]: ...
 @overload
-def convolve(a: _nt.ToComplex_1d, v: _nt.CoComplex_1d, mode: _Mode = "valid") -> _nt.Array1D[np.complexfloating]: ...
+def convolve(a: _nt.ToComplex_1d, v: _nt.CoComplex_1d, mode: _Mode = "full") -> _nt.Array1D[np.complexfloating]: ...
 @overload
-def convolve(a: _nt.CoComplex_1d, v: _nt.ToComplex_1d, mode: _Mode = "valid") -> _nt.Array1D[np.complexfloating]: ...
+def convolve(a: _nt.CoComplex_1d, v: _nt.ToComplex_1d, mode: _Mode = "full") -> _nt.Array1D[np.complexfloating]: ...
 @overload
-def convolve(a: _nt.ToTimeDelta_1d, v: _nt.CoTimeDelta_1d, mode: _Mode = "valid") -> _nt.Array1D[np.timedelta64]: ...
+def convolve(a: _nt.ToTimeDelta_1d, v: _nt.CoTimeDelta_1d, mode: _Mode = "full") -> _nt.Array1D[np.timedelta64]: ...
 @overload
-def convolve(a: _nt.CoTimeDelta_1d, v: _nt.ToTimeDelta_1d, mode: _Mode = "valid") -> _nt.Array1D[np.timedelta64]: ...
+def convolve(a: _nt.CoTimeDelta_1d, v: _nt.ToTimeDelta_1d, mode: _Mode = "full") -> _nt.Array1D[np.timedelta64]: ...
 @overload
-def convolve(a: _nt.ToObject_1d, v: _nt.ToObject_1d, mode: _Mode = "valid") -> _nt.Array1D[np.object_]: ...
+def convolve(a: _nt.ToObject_1d, v: _nt.ToObject_1d, mode: _Mode = "full") -> _nt.Array1D[np.object_]: ...
 @overload
 def convolve(
     a: _nt.CoComplex_1d | _nt.CoTimeDelta_1d | _nt.ToObject_1d,
     v: _nt.CoComplex_1d | _nt.CoTimeDelta_1d | _nt.ToObject_1d,
-    mode: _Mode = "valid",
+    mode: _Mode = "full",
 ) -> _nt.Array1D[Any]: ...
 
 #