diff --git a/dpctl/tensor/libtensor/include/kernels/elementwise_functions/expm1.hpp b/dpctl/tensor/libtensor/include/kernels/elementwise_functions/expm1.hpp
index 7b59285884..b996a6d0ec 100644
--- a/dpctl/tensor/libtensor/include/kernels/elementwise_functions/expm1.hpp
+++ b/dpctl/tensor/libtensor/include/kernels/elementwise_functions/expm1.hpp
@@ -28,6 +28,7 @@
 #include <cmath>
 #include <cstddef>
 #include <cstdint>
+#include <limits>
 #include <type_traits>
 
 #include "kernels/elementwise_functions/common.hpp"
@@ -73,6 +74,46 @@ template <typename argT, typename resT> struct Expm1Functor
             const realT x = std::real(in);
             const realT y = std::imag(in);
 
+            // special cases
+            if (std::isinf(x)) {
+                if (x > realT(0)) {
+                    // positive infinity cases
+                    if (!std::isfinite(y)) {
+                        return resT{x, std::numeric_limits<realT>::quiet_NaN()};
+                    }
+                    else if (y == realT(0)) {
+                        return in;
+                    }
+                    else {
+                        return (resT{std::copysign(x, std::cos(y)),
+                                     std::copysign(x, std::sin(y))});
+                    }
+                }
+                else {
+                    // negative infinity cases
+                    if (!std::isfinite(y)) {
+                        // copy sign of y to guarantee
+                        // conj(expm1(x)) == expm1(conj(x))
+                        return resT{realT(-1), std::copysign(realT(0), y)};
+                    }
+                    else {
+                        return resT{realT(-1),
+                                    std::copysign(realT(0), std::sin(y))};
+                    }
+                }
+            }
+
+            if (std::isnan(x)) {
+                if (y == realT(0)) {
+                    return in;
+                }
+                else {
+                    return resT{std::numeric_limits<realT>::quiet_NaN(),
+                                std::numeric_limits<realT>::quiet_NaN()};
+                }
+            }
+
+            // x, y finite numbers
             realT cosY_val;
             const realT sinY_val = sycl::sincos(y, &cosY_val);
             const realT sinhalfY_val = std::sin(y / 2);
diff --git a/dpctl/tests/elementwise/test_expm1.py b/dpctl/tests/elementwise/test_expm1.py
index 20dc421c77..ba95d2b96d 100644
--- a/dpctl/tests/elementwise/test_expm1.py
+++ b/dpctl/tests/elementwise/test_expm1.py
@@ -116,29 +116,53 @@ def test_expm1_order(dtype):
 
 
 def test_expm1_special_cases():
-    q = get_queue_or_skip()
+    get_queue_or_skip()
 
-    X = dpt.asarray(
-        [dpt.nan, 0.0, -0.0, dpt.inf, -dpt.inf], dtype="f4", sycl_queue=q
-    )
-    Xnp = dpt.asnumpy(X)
+    X = dpt.asarray([dpt.nan, 0.0, -0.0, dpt.inf, -dpt.inf], dtype="f4")
+    res = np.asarray([np.nan, 0.0, -0.0, np.inf, -1.0], dtype="f4")
 
     tol = dpt.finfo(X.dtype).resolution
-    assert_allclose(
-        dpt.asnumpy(dpt.expm1(X)), np.expm1(Xnp), atol=tol, rtol=tol
-    )
+    assert_allclose(dpt.asnumpy(dpt.expm1(X)), res, atol=tol, rtol=tol)
 
     # special cases for complex variant
+    num_finite = 1.0
     vals = [
-        complex(*val)
-        for val in itertools.permutations(
-            [dpt.nan, dpt.inf, -dpt.inf, 0.0, -0.0, 1.0], 2
-        )
+        complex(0.0, 0.0),
+        complex(num_finite, dpt.inf),
+        complex(num_finite, dpt.nan),
+        complex(dpt.inf, 0.0),
+        complex(-dpt.inf, num_finite),
+        complex(dpt.inf, num_finite),
+        complex(-dpt.inf, dpt.inf),
+        complex(dpt.inf, dpt.inf),
+        complex(-dpt.inf, dpt.nan),
+        complex(dpt.inf, dpt.nan),
+        complex(dpt.nan, 0.0),
+        complex(dpt.nan, num_finite),
+        complex(dpt.nan, dpt.nan),
     ]
     X = dpt.asarray(vals, dtype=dpt.complex64)
-    Xnp = dpt.asnumpy(X)
+    cis_1 = complex(np.cos(num_finite), np.sin(num_finite))
+    c_nan = complex(np.nan, np.nan)
+    res = np.asarray(
+        [
+            complex(0.0, 0.0),
+            c_nan,
+            c_nan,
+            complex(np.inf, 0.0),
+            0.0 * cis_1 - 1.0,
+            np.inf * cis_1 - 1.0,
+            complex(-1.0, 0.0),
+            complex(np.inf, np.nan),
+            complex(-1.0, 0.0),
+            complex(np.inf, np.nan),
+            complex(np.nan, 0.0),
+            c_nan,
+            c_nan,
+        ],
+        dtype=np.complex64,
+    )
 
     tol = dpt.finfo(X.dtype).resolution
-    assert_allclose(
-        dpt.asnumpy(dpt.expm1(X)), np.expm1(Xnp), atol=tol, rtol=tol
-    )
+    with np.errstate(invalid="ignore"):
+        assert_allclose(dpt.asnumpy(dpt.expm1(X)), res, atol=tol, rtol=tol)
diff --git a/dpctl/tests/elementwise/test_log1p.py b/dpctl/tests/elementwise/test_log1p.py
index 2820b4f8b5..d40574c415 100644
--- a/dpctl/tests/elementwise/test_log1p.py
+++ b/dpctl/tests/elementwise/test_log1p.py
@@ -119,28 +119,49 @@ def test_log1p_special_cases():
     q = get_queue_or_skip()
 
     X = dpt.asarray(
-        [dpt.nan, -1.0, -2.0, 0.0, -0.0, dpt.inf, -dpt.inf],
+        [dpt.nan, -2.0, -1.0, -0.0, 0.0, dpt.inf],
         dtype="f4",
         sycl_queue=q,
     )
-    Xnp = dpt.asnumpy(X)
+    res = np.asarray([np.nan, np.nan, -np.inf, -0.0, 0.0, np.inf])
 
     tol = dpt.finfo(X.dtype).resolution
-    assert_allclose(
-        dpt.asnumpy(dpt.log1p(X)), np.log1p(Xnp), atol=tol, rtol=tol
-    )
+    with np.errstate(divide="ignore", invalid="ignore"):
+        assert_allclose(dpt.asnumpy(dpt.log1p(X)), res, atol=tol, rtol=tol)
 
     # special cases for complex
     vals = [
-        complex(*val)
-        for val in itertools.permutations(
-            [dpt.nan, dpt.inf, -dpt.inf, 0.0, -0.0, 1.0, -1.0, -2.0], 2
-        )
+        complex(-1.0, 0.0),
+        complex(2.0, dpt.inf),
+        complex(2.0, dpt.nan),
+        complex(-dpt.inf, 1.0),
+        complex(dpt.inf, 1.0),
+        complex(-dpt.inf, dpt.inf),
+        complex(dpt.inf, dpt.inf),
+        complex(dpt.inf, dpt.nan),
+        complex(dpt.nan, 1.0),
+        complex(dpt.nan, dpt.inf),
+        complex(dpt.nan, dpt.nan),
     ]
     X = dpt.asarray(vals, dtype=dpt.complex64)
-    Xnp = dpt.asnumpy(X)
+    c_nan = complex(np.nan, np.nan)
+    res = np.asarray(
+        [
+            complex(-np.inf, 0.0),
+            complex(np.inf, np.pi / 2),
+            c_nan,
+            complex(np.inf, np.pi),
+            complex(np.inf, 0.0),
+            complex(np.inf, 3 * np.pi / 4),
+            complex(np.inf, np.pi / 4),
+            complex(np.inf, np.nan),
+            c_nan,
+            complex(np.inf, np.nan),
+            c_nan,
+        ],
+        dtype=np.complex64,
+    )
 
     tol = dpt.finfo(X.dtype).resolution
-    assert_allclose(
-        dpt.asnumpy(dpt.log1p(X)), np.log1p(Xnp), atol=tol, rtol=tol
-    )
+    with np.errstate(invalid="ignore"):
+        assert_allclose(dpt.asnumpy(dpt.log1p(X)), res, atol=tol, rtol=tol)