diff --git a/clearml/automation/controller.py b/clearml/automation/controller.py
index 51c1a25a..998318fc 100644
--- a/clearml/automation/controller.py
+++ b/clearml/automation/controller.py
@@ -29,7 +29,7 @@ from ..model import BaseModel, OutputModel
 from ..storage.util import hash_dict
 from ..task import Task
 from ..utilities.process.mp import leave_process
-from ..utilities.proxy_object import LazyEvalWrapper, flatten_dictionary, walk_nested_dict_tuple_list
+from ..utilities.proxy_object import LazyEvalWrapper, flatten_dictionary, walk_nested_dict_tuple_list, verify_basic_type
 
 
 class PipelineController(object):
@@ -701,7 +701,7 @@ class PipelineController(object):
         function_input_artifacts = {}
         # go over function_kwargs, split it into string and input artifacts
         for k, v in function_kwargs.items():
-            if v and self._step_ref_pattern.match(str(v)):
+            if v is not None and self._step_ref_pattern.match(str(v)):
                 # check for step artifacts
                 step, _, artifact = v[2:-1].partition('.')
                 if step in self._nodes and artifact in self._nodes[step].return_artifacts:
@@ -711,6 +711,9 @@ class PipelineController(object):
                 # steps from tasks the _nodes is till empty, only after deserializing we will have the full DAG)
                 if self._task.running_locally():
                     self.__verify_step_reference(node=self.Node(name=name), step_ref_string=v)
+            elif not verify_basic_type(v):
+                function_input_artifacts[k] = "{}.{}.{}".format(self._task.id, name, k)
+                self._task.upload_artifact("{}.{}".format(name, k), artifact_object=v, wait_on_upload=True)
 
         function_kwargs = {k: v for k, v in function_kwargs.items() if k not in function_input_artifacts}
         parameters = {"{}/{}".format(CreateFromFunction.kwargs_section, k): v for k, v in function_kwargs.items()}
@@ -3622,9 +3625,7 @@ class PipelineDecorator(PipelineController):
                 x for x in cls._evaluated_return_values.get(tid, []) if x in leaves
             ]
         for k, v in kwargs.items():
-            if v is None or isinstance(v, (bool, int, float, str)):
-                _node.parameters["{}/{}".format(CreateFromFunction.kwargs_section, k)] = v
-            elif isinstance(v, (list, tuple)) and all(isinstance(i, (bool, int, float, str)) for i in v):
+            if v is None or verify_basic_type(v):
                 _node.parameters["{}/{}".format(CreateFromFunction.kwargs_section, k)] = v
             else:
                 # we need to create an artifact
diff --git a/clearml/automation/job.py b/clearml/automation/job.py
index 19de52cc..6a2b7e08 100644
--- a/clearml/automation/job.py
+++ b/clearml/automation/job.py
@@ -18,6 +18,7 @@ from ..backend_interface.util import get_or_create_project, exact_match_regex
 from ..storage.util import hash_dict
 from ..task import Task
 from ..backend_api.services import tasks as tasks_service
+from ..utilities.proxy_object import verify_basic_type, get_basic_type
 
 
 logger = getLogger('clearml.automation.job')
@@ -573,7 +574,11 @@ class ClearmlJob(BaseJob):
             self.task.set_tags(list(set(self.task.get_tags()) | set(tags)))
 
         if task_params:
-            self.task.set_parameters(task_params)
+            param_types = {}
+            for key, value in task_params.items():
+                if verify_basic_type(value):
+                    param_types[key] = get_basic_type(value)
+            self.task.set_parameters(task_params, __parameters_types=param_types)
 
         # store back Task configuration object into backend
         if task_configurations:
diff --git a/clearml/binding/artifacts.py b/clearml/binding/artifacts.py
index 0c2c6872..b63d2b4a 100644
--- a/clearml/binding/artifacts.py
+++ b/clearml/binding/artifacts.py
@@ -635,7 +635,11 @@ class Artifacts(object):
                 artifact_type = 'custom'
                 artifact_type_data.content_type = mimetypes.guess_type(artifact_object)[0]
                 local_filename = artifact_object
-        elif isinstance(artifact_object, (list, tuple)) and all(isinstance(p, pathlib_types) for p in artifact_object):
+        elif (
+            artifact_object
+            and isinstance(artifact_object, (list, tuple))
+            and all(isinstance(p, pathlib_types) for p in artifact_object)
+        ):
             # find common path if exists
             list_files = [Path(p) for p in artifact_object]
             override_filename_ext_in_uri = '.zip'