diff --git a/paddlenlp/trainer/training_args.py b/paddlenlp/trainer/training_args.py
index e984c05cbc0b..8ebd218447fc 100644
--- a/paddlenlp/trainer/training_args.py
+++ b/paddlenlp/trainer/training_args.py
@@ -253,6 +253,7 @@ class TrainingArguments:
               enable_release_grads, reduce peak memory usage by releasing gradients after each iteration. The creation of gradients will be postponed until backward propagation of the next iteration.
               enable_overlap_p2p_comm, overlap p2p communication with computation.
               enable_clear_every_step_cache, clear every step cache for pipeline parallel.
+              disable_non_batch_p2p_comm, disable batched send/recv in pipeline parallel mode.
         sharding_parallel_config (`str`, *optional*)(
             Some additional config it highly affect the useage of sharding parallel, we provide some option to config it.
             following config is support:
@@ -616,6 +617,7 @@ class TrainingArguments:
                 "enable_sharding_comm_overlap, fuse sharding stage 1 parallel gradient communication. \n"
                 "enable_overlap_p2p_comm, overlap p2p communication with computation. \n"
                 "enable_clear_every_step_cache, clear every step cache for pipeline parallel. \n"
+                "disable_batch_p2p_comm, disable batched send/recv in pipeline parallel mode. \n"
             )
         },
     )
@@ -993,6 +995,7 @@ def __post_init__(self):
                                 "enable_dp_comm_overlap",
                                 "enable_clear_every_step_cache",
                                 "enable_overlap_p2p_comm",
+                                "disable_batch_p2p_comm",
                             ]:
                                 raise ValueError(
                                     f"Found unknown pipeline mode config {x}, accpet config is disable_p2p_cache_shape, disable_partial_send_recv."
@@ -1025,6 +1028,7 @@ def __post_init__(self):
                         "release_gradients": "enable_release_grads" in pipeline_parallel_config,
                         "overlap_p2p_comm": "enable_overlap_p2p_comm" in pipeline_parallel_config,
                         "clear_every_step_cache": "enable_clear_every_step_cache" in pipeline_parallel_config,
+                        "use_batch_p2p_comm": "disable_batch_p2p_comm" not in pipeline_parallel_config,
                     }
                     if dygraph_pp_configs["dp_comm_overlap"]:
                         raise ValueError("overlap has accuracy issue")  # TODO: fix `overalap` + `delay_scale` issue
@@ -1249,6 +1253,7 @@ def is_segment_parallel_supported():
                             # "enable_dp_comm_overlap",       # no implemenation for auto_parallel
                             # "enable_sharding_comm_overlap", # no implemenation for auto_parallel
                             # "enable_timer",                 # no implemenation for auto_parallel
+                            # "disable_batch_p2p_comm",       # no implemenation for auto_parallel
                         ]:
                             raise ValueError(
                                 f"Found unknown pipeline mode config {x}, accpet config is enable_send_recv_overlap."