diff --git a/concrete/common/mlir/converters.py b/concrete/common/mlir/converters.py
index 569fa84ad..f4672ba02 100644
--- a/concrete/common/mlir/converters.py
+++ b/concrete/common/mlir/converters.py
@@ -10,7 +10,7 @@ from typing import cast
 
 # pylint: disable=no-name-in-module,no-member
 import numpy as np
-from mlir.dialects import std as std_dialect
+from mlir.dialects import arith as arith_dialect
 from mlir.ir import Attribute, DenseElementsAttr, IntegerAttr, IntegerType, RankedTensorType
 from zamalang.dialects import hlfhe
 
@@ -135,7 +135,7 @@ def constant(node, _preds, _ir_to_mlir_node, ctx, _additional_conversion_info=No
         data = node.constant_data
 
         int_type = IntegerType.get_signless(dtype.bit_width, context=ctx)
-        return std_dialect.ConstantOp(int_type, IntegerAttr.get(int_type, data)).result
+        return arith_dialect.ConstantOp(int_type, IntegerAttr.get(int_type, data)).result
 
     if value_is_clear_tensor_integer(value):
         value = cast(TensorValue, value)
@@ -156,7 +156,7 @@ def constant(node, _preds, _ir_to_mlir_node, ctx, _additional_conversion_info=No
         # we use `Attribute.parse` to let the underlying library do it by itself
 
         value_attr = Attribute.parse(f"dense<{str(data.tolist())}> : {vec_type}")
-        return std_dialect.ConstantOp(vec_type, value_attr).result
+        return arith_dialect.ConstantOp(vec_type, value_attr).result
 
     raise TypeError(f"Don't support {value} constants")
 
@@ -193,7 +193,7 @@ def apply_lut(node, preds, ir_to_mlir_node, ctx, additional_conversion_info):
     out_dtype = cast(Integer, node.outputs[0].dtype)
     # Create table
     dense_elem = DenseElementsAttr.get(np.array(table, dtype=np.uint64), context=ctx)
-    tensor_lut = std_dialect.ConstantOp(
+    tensor_lut = arith_dialect.ConstantOp(
         RankedTensorType.get([len(table)], IntegerType.get_signless(64, context=ctx)),
         dense_elem,
     ).result