diff --git a/test/test_nestedtensor.py b/test/test_nestedtensor.py
index e6af8d088b1..355ae719eb1 100644
--- a/test/test_nestedtensor.py
+++ b/test/test_nestedtensor.py
@@ -3349,6 +3349,21 @@ class TestNestedTensorSubclass(TestCase):
             t = torch.rand(t_size, requires_grad=True, device=device, dtype=torch.float64)
             gradcheck(grad_test_func, inputs=(t, *ts), check_batched_grad=False)
 
+    def test_threshold_backward(self, device):
+        ts1 = self._get_list_for_jagged_tensor(((2, 3, 4), 16), device=device, requires_grad=False)
+        ts2 = self._get_list_for_jagged_tensor(((2, 3, 4), 16), device=device, requires_grad=False)
+
+        nt1, offsets = jagged_from_list(ts1, None)
+        nt2, offsets = jagged_from_list(ts2, offsets)
+        buf1 = buffer_from_jagged(nt1).detach().clone()
+        buf2 = buffer_from_jagged(nt2).detach().clone()
+
+        res_nt = torch.ops.aten.threshold_backward(nt1, nt2, 0.0)
+        res_dense = torch.ops.aten.threshold_backward(buf1, buf2, 0.0)
+
+        self.assertEqual(res_dense, buffer_from_jagged(res_nt))
+
+
     @parametrize("keepdim", [False, True])
     def test_sum_int_DimList(self, device, keepdim):
         # (B, j0, 3, 4)
diff --git a/torch/nested/_internal/ops.py b/torch/nested/_internal/ops.py
index c0e060d7e87..5a5accafc98 100644
--- a/torch/nested/_internal/ops.py
+++ b/torch/nested/_internal/ops.py
@@ -194,7 +194,7 @@ def lookup_jagged(func, *args, **kwargs) -> Optional[Callable]:
             check_schema("self: jt_all, ...", func, *args, **kwargs)
             return functools.partial(jagged_unary_pointwise, func)
         elif num_tensor_args == 2:
-            check_schema("lhs: any, rhs: any", func, *args, **kwargs)
+            check_schema("lhs: any, rhs: any, ...", func, *args, **kwargs)
             return functools.partial(jagged_binary_pointwise, func)
 
     return None