diff --git a/.flake8 b/.flake8
index 5da4f8e575eaaa..5d69dc54fd1a4d 100644
--- a/.flake8
+++ b/.flake8
@@ -14,7 +14,7 @@ ignore =
     # to line this up with executable bit
     EXE001,
     # these ignores are from flake8-bugbear; please fix!
-    B007,B008,B017,B019,B023,B026,B028,B903,B904,B905,B906,B907
+    B007,B008,B017,B019,B023,B028,B903,B904,B905,B906,B907
     # these ignores are from flake8-comprehensions; please fix!
     C407,
     # these ignores are from flake8-logging-format; please fix!
diff --git a/pyproject.toml b/pyproject.toml
index 3585c372018f02..076bc91bd56137 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -29,7 +29,7 @@ ignore = [
     "B007", "B008", "B017",
     "B018", # Useless expression
     "B019",
-    "B023", "B026",
+    "B023",
     "B028", # No explicit `stacklevel` keyword argument found
     "B904",
     "E402",
diff --git a/test/distributed/fsdp/test_fsdp_checkpoint.py b/test/distributed/fsdp/test_fsdp_checkpoint.py
index 7f99d95af24153..57708a94acb1ff 100644
--- a/test/distributed/fsdp/test_fsdp_checkpoint.py
+++ b/test/distributed/fsdp/test_fsdp_checkpoint.py
@@ -100,7 +100,7 @@ def __init__(
                 l3 = ckpt_wrapper(l3)
 
             fsdp_wrapper = partial(
-                _maybe_wrap_fsdp, wrap_fsdp=wrap_fsdp, *fsdp_args, **fsdp_kwargs
+                _maybe_wrap_fsdp, *fsdp_args, wrap_fsdp=wrap_fsdp, **fsdp_kwargs
             )
             self.ffn = nn.Sequential(
                 fsdp_wrapper(l1),
diff --git a/test/distributed/fsdp/test_fsdp_state_dict.py b/test/distributed/fsdp/test_fsdp_state_dict.py
index 3bdd5b4da00382..de4ae8b0e646b1 100644
--- a/test/distributed/fsdp/test_fsdp_state_dict.py
+++ b/test/distributed/fsdp/test_fsdp_state_dict.py
@@ -230,8 +230,8 @@ def _get_multibuffer_nested_model(
                 bn1 = checkpoint_wrapper(bn1)
                 lin2 = checkpoint_wrapper(lin2)
             seq = nn.Sequential(
-                FSDP(lin1, mixed_precision=lin_mp, *fsdp_args, **fsdp_kwargs),
-                FSDP(bn1, mixed_precision=bn_mp, *fsdp_args, **fsdp_kwargs),
+                FSDP(lin1, *fsdp_args, mixed_precision=lin_mp, **fsdp_kwargs),
+                FSDP(bn1, *fsdp_args, mixed_precision=bn_mp, **fsdp_kwargs),
                 lin2,
             )
             if checkpoint_wrap:
diff --git a/test/onnx/test_operators.py b/test/onnx/test_operators.py
index c0861a9c32fcbd..d456c6a30cf8c2 100644
--- a/test/onnx/test_operators.py
+++ b/test/onnx/test_operators.py
@@ -48,7 +48,7 @@
 
 def export_to_pbtxt(model, inputs, *args, **kwargs):
     return torch.onnx.export_to_pretty_string(
-        model, inputs, google_printer=True, *args, **kwargs
+        model, inputs, *args, google_printer=True, **kwargs
     )
 
 
diff --git a/test/test_ops.py b/test/test_ops.py
index 017854439ed107..14e327a39e27b4 100644
--- a/test/test_ops.py
+++ b/test/test_ops.py
@@ -986,7 +986,7 @@ def helper(with_out, expectFail, op_to_test, inputs, *args, **kwargs):
             try:
                 if with_out:
                     out = torch.empty(0, dtype=torch.int32, device=device)
-                    op_to_test(inputs, out=out, *args, **kwargs)
+                    op_to_test(inputs, *args, out=out, **kwargs)
                 else:
                     out = op_to_test(inputs, *args, **kwargs)
                 self.assertFalse(expectFail)
diff --git a/torch/_functorch/aot_autograd.py b/torch/_functorch/aot_autograd.py
index b9f82270c1541f..4fc58d405f69a9 100644
--- a/torch/_functorch/aot_autograd.py
+++ b/torch/_functorch/aot_autograd.py
@@ -4716,7 +4716,7 @@ def functional_call(named_params, named_buffers, *args, **kwargs):
     named_buffers = dict(mod.named_buffers(remove_duplicate=False))
     num_params_buffers = len(named_params) + len(named_buffers)
     compiled_f = aot_function(
-        functional_call, num_params_buffers=num_params_buffers, *args, **kwargs
+        functional_call, *args, num_params_buffers=num_params_buffers, **kwargs
     )
 
     class AOTModule(nn.Module):
diff --git a/torch/utils/data/datapipes/iter/combinatorics.py b/torch/utils/data/datapipes/iter/combinatorics.py
index fc2f5c68e97f7d..16d2f5444dcd9e 100644
--- a/torch/utils/data/datapipes/iter/combinatorics.py
+++ b/torch/utils/data/datapipes/iter/combinatorics.py
@@ -40,7 +40,7 @@ def __init__(self,
         self.sampler_args = () if sampler_args is None else sampler_args
         self.sampler_kwargs = {} if sampler_kwargs is None else sampler_kwargs
         # https://github.com/python/mypy/pull/9629 will solve
-        self.sampler = sampler(data_source=self.datapipe, *self.sampler_args, **self.sampler_kwargs)  # type: ignore[misc]
+        self.sampler = sampler(*self.sampler_args, data_source=self.datapipe, **self.sampler_kwargs)  # type: ignore[misc]
 
     def __iter__(self) -> Iterator[T_co]:
         return iter(self.sampler)