diff --git a/tensorflow/core/profiler/utils/derived_timeline.cc b/tensorflow/core/profiler/utils/derived_timeline.cc
index a2ceb683f97bd7..6db5f1a51980e0 100644
--- a/tensorflow/core/profiler/utils/derived_timeline.cc
+++ b/tensorflow/core/profiler/utils/derived_timeline.cc
@@ -56,7 +56,9 @@ namespace tensorflow {
 namespace profiler {
 namespace {
 
-using tsl::profiler::FindMutableTensorCorePlanes;
+using ::tsl::profiler::DeviceType;
+using ::tsl::profiler::FindMutableTensorCorePlanes;
+using ::tsl::profiler::GetDeviceType;
 
 inline std::string HloModuleEventName(const GpuEventStats& stats) {
   return stats.program_id ? tsl::profiler::HloModuleNameWithProgramId(
@@ -321,6 +323,7 @@ DerivedXLineBuilder::DerivedXLineBuilder(
       dependent_lines_(std::move(dependent_lines)) {
   line_.SetName(name);
   line_.SetTimestampNs(timestamp_ns);
+  is_gpu_plane_ = GetDeviceType(plane->Name()) == DeviceType::kGpu;
 }
 
 void DerivedXLineBuilder::ExpandOrAddEvent(
@@ -351,8 +354,16 @@ void DerivedXLineBuilder::ExpandOrAddLevelEvent(
     std::optional<int64_t> group_id, std::optional<int64_t> scope_range_id,
     int level) {
   auto& last_event = last_event_by_level_[level];
-  if (last_event &&
-      last_event->ShouldExpand(event_metadata, group_id, scope_range_id)) {
+  // If group_id is not set and we still choose to expand, put an extra check:
+  // Expand only if the gap between the last event and the new event is less
+  // than 2 * duration of the last event.
+  // TODO: b/373944719 - add the extra node_id check for GPU profiles.
+  if (last_event.has_value() &&
+      last_event->ShouldExpand(event_metadata, group_id, scope_range_id) &&
+      (is_gpu_plane_ || group_id.has_value() ||
+       (last_event->GetTimespan().end_ps() +
+        2 * last_event->GetTimespan().duration_ps()) >=
+           event_span.begin_ps())) {
     // Expand the last event to cover the given event.
     last_event->Expand(event_span);
   } else {
diff --git a/tensorflow/core/profiler/utils/derived_timeline.h b/tensorflow/core/profiler/utils/derived_timeline.h
index edb0a071326bd8..6d2b5e5b243917 100644
--- a/tensorflow/core/profiler/utils/derived_timeline.h
+++ b/tensorflow/core/profiler/utils/derived_timeline.h
@@ -142,6 +142,7 @@ class DerivedXLineBuilder {
   absl::flat_hash_map<int, std::optional<DerivedXEventBuilder>>
       last_event_by_level_;
   std::vector<DerivedXLineBuilder*> dependent_lines_;
+  bool is_gpu_plane_ = false;
 };
 
 struct Symbol {
diff --git a/tensorflow/core/profiler/utils/derived_timeline_test.cc b/tensorflow/core/profiler/utils/derived_timeline_test.cc
index c10b560ce176f1..162e58ed17199b 100644
--- a/tensorflow/core/profiler/utils/derived_timeline_test.cc
+++ b/tensorflow/core/profiler/utils/derived_timeline_test.cc
@@ -503,6 +503,40 @@ TEST(DerivedTimelineTest, DeriveLinesForXlaCpuOps) {
   });
 }
 
+TEST(DerivedTimelineTest, MergeAndNoMerge) {
+  constexpr absl::string_view kHloModuleName = "Framework Ops";
+  static constexpr absl::string_view kTfOpName = "abc:model/layer/MatMul_1";
+  XSpace space;
+  tsl::profiler::GroupMetadataMap group_metadata_map;
+  XPlane* plane =
+      GetOrCreateTpuXPlane(&space, /*device_ordinal=*/0, "DummyTPU", 1.0, 1.0);
+  XPlaneBuilder plane_builder(plane);
+  auto line_builder = plane_builder.GetOrCreateLine(0);
+  CreateXEvent(
+      &plane_builder, &line_builder, "op1", 0, 100,
+      {{StatType::kHloModule, kHloModuleName}, {StatType::kTfOp, kTfOpName}});
+  CreateXEvent(
+      &plane_builder, &line_builder, "op2", 200, 300,
+      {{StatType::kHloModule, kHloModuleName}, {StatType::kTfOp, kTfOpName}});
+  // The above two events are merged into one. This event will not be merged
+  // because the gap is > 2x(0..200+300) = 1000.
+  CreateXEvent(
+      &plane_builder, &line_builder, "op3", 1501, 300,
+      {{StatType::kHloModule, kHloModuleName}, {StatType::kTfOp, kTfOpName}});
+  GenerateDerivedTimeLines(group_metadata_map, &space);
+  XPlaneVisitor plane_visitor = tsl::profiler::CreateTfXPlaneVisitor(plane);
+  // Only the hlo module line is added and other empty lines are removed at the
+  // end.
+  EXPECT_EQ(plane_visitor.NumLines(), 2);
+  plane_visitor.ForEachLine([](const XLineVisitor& line_visitor) {
+    if (line_visitor.Id() == 0) return;
+    EXPECT_EQ(line_visitor.NumEvents(), 2);
+    line_visitor.ForEachEvent([](const XEventVisitor& event_visitor) {
+      EXPECT_EQ(event_visitor.Name(), kTfOpName);
+    });
+  });
+}
+
 }  // namespace
 }  // namespace profiler
 }  // namespace tensorflow
diff --git a/third_party/xla/xla/tsl/profiler/utils/device_utils.cc b/third_party/xla/xla/tsl/profiler/utils/device_utils.cc
index 945a157ec9c456..c9b15a51507f00 100644
--- a/third_party/xla/xla/tsl/profiler/utils/device_utils.cc
+++ b/third_party/xla/xla/tsl/profiler/utils/device_utils.cc
@@ -16,22 +16,26 @@ limitations under the License.
 #include "xla/tsl/profiler/utils/device_utils.h"
 
 #include "absl/strings/match.h"
+#include "absl/strings/string_view.h"
 #include "xla/tsl/profiler/utils/xplane_schema.h"
 #include "tsl/profiler/protobuf/xplane.pb.h"
 
 namespace tsl {
 namespace profiler {
 
-DeviceType GetDeviceType(const tensorflow::profiler::XPlane& plane) {
-  if (plane.name() == kHostThreadsPlaneName) {
+DeviceType GetDeviceType(absl::string_view plane_name) {
+  if (plane_name == kHostThreadsPlaneName) {
     return DeviceType::kCpu;
-  } else if (absl::StartsWith(plane.name(), kTpuPlanePrefix)) {
+  } else if (absl::StartsWith(plane_name, kTpuPlanePrefix)) {
     return DeviceType::kTpu;
-  } else if (absl::StartsWith(plane.name(), kGpuPlanePrefix)) {
+  } else if (absl::StartsWith(plane_name, kGpuPlanePrefix)) {
     return DeviceType::kGpu;
   } else {
     return DeviceType::kUnknown;
   }
 }
+DeviceType GetDeviceType(const tensorflow::profiler::XPlane& plane) {
+  return GetDeviceType(plane.name());
+}
 }  // namespace profiler
 }  // namespace tsl
diff --git a/third_party/xla/xla/tsl/profiler/utils/device_utils.h b/third_party/xla/xla/tsl/profiler/utils/device_utils.h
index 825a9fe975437d..e07f5679392f85 100644
--- a/third_party/xla/xla/tsl/profiler/utils/device_utils.h
+++ b/third_party/xla/xla/tsl/profiler/utils/device_utils.h
@@ -16,6 +16,7 @@ limitations under the License.
 #ifndef XLA_TSL_PROFILER_UTILS_DEVICE_UTILS_H_
 #define XLA_TSL_PROFILER_UTILS_DEVICE_UTILS_H_
 
+#include "absl/strings/string_view.h"
 #include "tsl/profiler/protobuf/xplane.pb.h"
 
 namespace tsl {
@@ -28,8 +29,10 @@ enum class DeviceType {
   kGpu,
 };
 
-// Get DeviceType from XPlane.
+// Gets DeviceType from XPlane.
 DeviceType GetDeviceType(const tensorflow::profiler::XPlane& plane);
+// Gets DeviceType from XPlane name.
+DeviceType GetDeviceType(absl::string_view plane_name);
 
 }  // namespace profiler
 }  // namespace tsl
diff --git a/third_party/xla/xla/tsl/profiler/utils/device_utils_test.cc b/third_party/xla/xla/tsl/profiler/utils/device_utils_test.cc
index 6f872dc5713bed..1698357e36b330 100644
--- a/third_party/xla/xla/tsl/profiler/utils/device_utils_test.cc
+++ b/third_party/xla/xla/tsl/profiler/utils/device_utils_test.cc
@@ -40,6 +40,13 @@ TEST(DeviceUtilsTest, GetDeviceType) {
   EXPECT_EQ(GetDeviceType(CreateXPlane("unknown")), DeviceType::kUnknown);
 }
 
+TEST(DeviceUtilsTest, GetDeviceTypeFromName) {
+  EXPECT_EQ(GetDeviceType(kHostThreadsPlaneName), DeviceType::kCpu);
+  EXPECT_EQ(GetDeviceType(absl::StrCat(kTpuPlanePrefix, 0)), DeviceType::kTpu);
+  EXPECT_EQ(GetDeviceType(absl::StrCat(kGpuPlanePrefix, 0)), DeviceType::kGpu);
+  EXPECT_EQ(GetDeviceType("unknown"), DeviceType::kUnknown);
+}
+
 }  // namespace
 }  // namespace profiler
 }  // namespace tsl