diff --git a/lib/Conversion/TorchOnnxToTorch/DefaultDomainQtoZ.cpp b/lib/Conversion/TorchOnnxToTorch/DefaultDomainQtoZ.cpp
index 95413b080343..a7f357349ecf 100644
--- a/lib/Conversion/TorchOnnxToTorch/DefaultDomainQtoZ.cpp
+++ b/lib/Conversion/TorchOnnxToTorch/DefaultDomainQtoZ.cpp
@@ -635,18 +635,21 @@ void mlir::torch::onnx_c::populateDefaultDomainQtoZ(
 
         // TODO: Implement max and min cases
         if (reduction == "mul") {
-          reduction = "multiply";
+          reduction = "prod";
         } else if (reduction == "max" || reduction == "min") {
           return rewriter.notifyMatchFailure(
               binder.op, "max/min reduction unsupported for scatter elements");
+        } else if (reduction == "add") {
+          reduction = "sum";
         }
 
         Value cstStrReduction =
             rewriter.create<Torch::ConstantStrOp>(binder.getLoc(), reduction);
-
-        rewriter.replaceOpWithNewOp<Torch::AtenScatterReduceOp>(
+        Value cstTrue =
+            rewriter.create<Torch::ConstantBoolOp>(binder.getLoc(), true);
+        rewriter.replaceOpWithNewOp<Torch::AtenScatterReduceTwoOp>(
             binder.op, resultType, data, constAxis, indices, updates,
-            cstStrReduction);
+            cstStrReduction, cstTrue);
         return success();
       });
   patterns.onOp(
diff --git a/projects/pt1/e2e_testing/xfail_sets.py b/projects/pt1/e2e_testing/xfail_sets.py
index 237a2ac96651..bd8d1994d9b4 100644
--- a/projects/pt1/e2e_testing/xfail_sets.py
+++ b/projects/pt1/e2e_testing/xfail_sets.py
@@ -3084,7 +3084,6 @@
     "ScatterReduceIntMaxModuleIncludeSelf",
     "ScatterReduceIntMinModuleIncludeSelf",
     "ScatterValueFloatModule_basic",
-    "ScatterAddStaticModule_basic",
     # Failure - onnx_lowering: onnx.ScatterND
     "IndexPut1DFloatAccumulateModule_basic",
     "IndexPut1DIntAccumulateModule_basic",
diff --git a/test/Conversion/TorchOnnxToTorch/simple_ops_q_to_z.mlir b/test/Conversion/TorchOnnxToTorch/simple_ops_q_to_z.mlir
index bd2a92874843..30fd60dbde3a 100644
--- a/test/Conversion/TorchOnnxToTorch/simple_ops_q_to_z.mlir
+++ b/test/Conversion/TorchOnnxToTorch/simple_ops_q_to_z.mlir
@@ -261,15 +261,16 @@ func.func @test_scatter_elements_with_axis(%arg0: !torch.vtensor<[1,5],f32>, %ar
 
 // CHECK-LABEL: func.func @test_scatter_elements_with_duplicate_indices
 func.func @test_scatter_elements_with_duplicate_indices(%arg0: !torch.vtensor<[1,5],f32>, %arg1: !torch.vtensor<[1,2],si64>, %arg2: !torch.vtensor<[1,2],f32>) -> !torch.vtensor<[1,5],f32> attributes {torch.onnx_meta.ir_version = 8 : si64, torch.onnx_meta.opset_version = 18 : si64, torch.onnx_meta.producer_name = "backend-test", torch.onnx_meta.producer_version = ""} {
-  // CHECK: %[[AXIS:.*]] = torch.constant.int 1
-  // CHECK: %[[ZERO:.+]] = torch.constant.int 0
-  // CHECK: %[[ONE:.+]] = torch.constant.int 1
-  // CHECK: %[[SZ:.+]] = torch.aten.size.int %arg0, %[[AXIS]]
-  // CHECK: %[[ADD:.+]] = torch.aten.add.Scalar %arg1, %[[SZ]], %[[ONE]]
-  // CHECK: %[[CMP:.+]] = torch.aten.lt.Scalar %arg1, %[[ZERO]]
-  // CHECK: %[[WHERE:.+]] = torch.aten.where.self %[[CMP]], %[[ADD]], %arg1
-  // CHECK: %[[STR:.*]] = torch.constant.str "add"
-  // CHECK: torch.aten.scatter.reduce %arg0, %[[AXIS]], %[[WHERE]], %arg2, %str : !torch.vtensor<[1,5],f32>, !torch.int, !torch.vtensor<[1,2],si64>, !torch.vtensor<[1,2],f32>, !torch.str -> !torch.vtensor<[1,5],f32>
+// CHECK: %[[AXIS:.*]] = torch.constant.int 1
+// CHECK: %[[ZERO:.*]] = torch.constant.int 0
+// CHECK: %[[FIVE:.*]] = torch.constant.int 1
+// CHECK: %[[SZ:.*]] = torch.aten.size.int %arg0, %[[AXIS]] : !torch.vtensor<[1,5],f32>, !torch.int -> !torch.int
+// CHECK: %[[ADD:.*]] = torch.aten.add.Scalar %arg1, %[[SZ]], %[[FIVE]] : !torch.vtensor<[1,2],si64>, !torch.int, !torch.int -> !torch.vtensor<[1,2],si64>
+// CHECK: %[[CMP:.*]] = torch.aten.lt.Scalar %arg1, %[[ZERO]] : !torch.vtensor<[1,2],si64>, !torch.int -> !torch.vtensor<[1,2],i1>
+// CHECK: %[[WHERE:.*]] = torch.aten.where.self %[[CMP]], %[[ADD]], %arg1 : !torch.vtensor<[1,2],i1>, !torch.vtensor<[1,2],si64>, !torch.vtensor<[1,2],si64> -> !torch.vtensor<[1,2],si64>
+// CHECK: %[[STR:.*]] = torch.constant.str "sum"
+// CHECK: %[[TRUE:.*]] = torch.constant.bool true
+// CHECK: torch.aten.scatter_reduce.two %arg0, %[[AXIS]], %[[WHERE]], %arg2, %[[STR]], %[[TRUE]] : !torch.vtensor<[1,5],f32>, !torch.int, !torch.vtensor<[1,2],si64>, !torch.vtensor<[1,2],f32>, !torch.str, !torch.bool -> !torch.vtensor<[1,5],f32>
   %0 = torch.operator "onnx.ScatterElements"(%arg0, %arg1, %arg2) {torch.onnx.axis = 1 : si64, torch.onnx.reduction = "add"} : (!torch.vtensor<[1,5],f32>, !torch.vtensor<[1,2],si64>, !torch.vtensor<[1,2],f32>) -> !torch.vtensor<[1,5],f32>
   return %0 : !torch.vtensor<[1,5],f32>
 }
@@ -294,15 +295,16 @@ func.func @test_scatter_elements_without_axis(%arg0: !torch.vtensor<[3,3],f32>,
 
 // CHECK-LABEL: func.func @test_scatter_elements_with_reduction_mul
 func.func @test_scatter_elements_with_reduction_mul(%arg0: !torch.vtensor<[1,5],f32>, %arg1: !torch.vtensor<[1,2],si64>, %arg2: !torch.vtensor<[1,2],f32>) -> !torch.vtensor<[1,5],f32> attributes {torch.onnx_meta.ir_version = 8 : si64, torch.onnx_meta.opset_version = 18 : si64, torch.onnx_meta.producer_name = "backend-test", torch.onnx_meta.producer_version = ""} {
-  // CHECK: %[[AXIS:.*]] = torch.constant.int 1
-  // CHECK: %[[ZERO:.+]] = torch.constant.int 0
-  // CHECK: %[[ONE:.+]] = torch.constant.int 1
-  // CHECK: %[[SZ:.+]] = torch.aten.size.int %arg0, %[[AXIS]]
-  // CHECK: %[[ADD:.+]] = torch.aten.add.Scalar %arg1, %[[SZ]], %[[ONE]]
-  // CHECK: %[[CMP:.+]] = torch.aten.lt.Scalar %arg1, %[[ZERO]]
-  // CHECK: %[[WHERE:.+]] = torch.aten.where.self %[[CMP]], %[[ADD]], %arg1
-  // CHECK: %[[STR:.*]] = torch.constant.str "multiply"
-  // CHECK: torch.aten.scatter.reduce %arg0, %[[AXIS]], %[[WHERE]], %arg2, %str : !torch.vtensor<[1,5],f32>, !torch.int, !torch.vtensor<[1,2],si64>, !torch.vtensor<[1,2],f32>, !torch.str -> !torch.vtensor<[1,5],f32>
+// CHECK: %[[AXIS:.*]] = torch.constant.int 1
+// CHECK: %[[ZERO:.*]] = torch.constant.int 0
+// CHECK: %[[FIVE:.*]] = torch.constant.int 1
+// CHECK: %[[SZ:.*]] = torch.aten.size.int %arg0, %[[AXIS]] : !torch.vtensor<[1,5],f32>, !torch.int -> !torch.int
+// CHECK: %[[ADD:.*]] = torch.aten.add.Scalar %arg1, %[[SZ]], %[[FIVE]] : !torch.vtensor<[1,2],si64>, !torch.int, !torch.int -> !torch.vtensor<[1,2],si64>
+// CHECK: %[[CMP:.*]] = torch.aten.lt.Scalar %arg1, %[[ZERO]] : !torch.vtensor<[1,2],si64>, !torch.int -> !torch.vtensor<[1,2],i1>
+// CHECK: %[[WHERE:.*]] = torch.aten.where.self %[[CMP]], %[[ADD]], %arg1 : !torch.vtensor<[1,2],i1>, !torch.vtensor<[1,2],si64>, !torch.vtensor<[1,2],si64> -> !torch.vtensor<[1,2],si64>
+// CHECK: %[[STR:.*]] = torch.constant.str "prod"
+// CHECK: %[[TRUE:.*]] = torch.constant.bool true
+// CHECK: torch.aten.scatter_reduce.two %arg0, %[[AXIS]], %[[WHERE]], %arg2, %[[STR]], %[[TRUE]] : !torch.vtensor<[1,5],f32>, !torch.int, !torch.vtensor<[1,2],si64>, !torch.vtensor<[1,2],f32>, !torch.str, !torch.bool -> !torch.vtensor<[1,5],f32>
   %0 = torch.operator "onnx.ScatterElements"(%arg0, %arg1, %arg2) {torch.onnx.axis = 1 : si64, torch.onnx.reduction = "mul"} : (!torch.vtensor<[1,5],f32>, !torch.vtensor<[1,2],si64>, !torch.vtensor<[1,2],f32>) -> !torch.vtensor<[1,5],f32>
   return %0 : !torch.vtensor<[1,5],f32>
 }