diff --git a/test/nlp/test_autohf_classificationhead.py b/test/nlp/test_autohf_classificationhead.py
index 39d0b89b9f..9ce023f966 100644
--- a/test/nlp/test_autohf_classificationhead.py
+++ b/test/nlp/test_autohf_classificationhead.py
@@ -21,6 +21,9 @@
     "textattack/bert-base-uncased-MNLI",
 ]
 
+if sys.platform.startswith("darwin") and sys.version_info[0] == 3 and sys.version_info[1] == 11:
+    pytest.skip("skipping Python 3.11 on MacOS", allow_module_level=True)
+
 
 def test_switch_1_1():
     data_idx, model_path_idx = 0, 0
diff --git a/test/nlp/test_default.py b/test/nlp/test_default.py
index 7b8b252e25..b3c9016486 100644
--- a/test/nlp/test_default.py
+++ b/test/nlp/test_default.py
@@ -7,6 +7,9 @@
 
 from flaml.default import portfolio
 
+if sys.platform.startswith("darwin") and sys.version_info[0] == 3 and sys.version_info[1] == 11:
+    pytest.skip("skipping Python 3.11 on MacOS", allow_module_level=True)
+
 
 def pop_args(fit_kwargs):
     fit_kwargs.pop("max_iter", None)
diff --git a/test/tune/test_lexiflow.py b/test/tune/test_lexiflow.py
index dda6b924cb..9ee46dc48b 100644
--- a/test/tune/test_lexiflow.py
+++ b/test/tune/test_lexiflow.py
@@ -1,7 +1,9 @@
 import math
+import sys
 from collections import defaultdict
 
 import numpy as np
+import pytest
 import thop
 import torch
 import torch.nn as nn
@@ -19,6 +21,9 @@
 N_TRAIN_EXAMPLES = BATCHSIZE * 30
 N_VALID_EXAMPLES = BATCHSIZE * 10
 
+if sys.platform.startswith("darwin") and sys.version_info[0] == 3 and sys.version_info[1] == 11:
+    pytest.skip("skipping Python 3.11 on MacOS", allow_module_level=True)
+
 
 def _BraninCurrin(config):
     # Rescale brain
diff --git a/test/tune/test_tune.py b/test/tune/test_tune.py
index 658c5a387c..5f17272dc5 100644
--- a/test/tune/test_tune.py
+++ b/test/tune/test_tune.py
@@ -3,8 +3,10 @@
 import logging
 import math
 import os
+import sys
 import time
 
+import pytest
 import sklearn.datasets
 import sklearn.metrics
 import xgboost as xgb
@@ -17,6 +19,7 @@
 except ImportError:
     print("skip test_xgboost because ray tune cannot be imported.")
 
+
 logger = logging.getLogger(__name__)
 os.makedirs("logs", exist_ok=True)
 logger.addHandler(logging.FileHandler("logs/tune.log"))
@@ -496,4 +499,8 @@ def _test_xgboost_bohb():
 
 
 if __name__ == "__main__":
+    test_nested_run()
+    test_nested_space()
+    test_run_training_function_return_value()
+    test_passing_search_alg()
     test_xgboost_bs()