diff --git a/.github/workflows/run-pretrained-transducer-stateless.yml b/.github/workflows/run-pretrained-transducer-stateless.yml
index 7b08dd470..7af2299a4 100644
--- a/.github/workflows/run-pretrained-transducer-stateless.yml
+++ b/.github/workflows/run-pretrained-transducer-stateless.yml
@@ -24,7 +24,7 @@ on:
     types: [labeled]
 
 jobs:
-  run_pre_trained_conformer_ctc:
+  run_pre_trained_transducer_stateless:
     if: github.event.label.name == 'ready' || github.event_name == 'push'
     runs-on: ${{ matrix.os }}
     strategy:
diff --git a/README.md b/README.md
index f0ead2779..931fb0198 100644
--- a/README.md
+++ b/README.md
@@ -80,7 +80,7 @@ We provide a Colab notebook to run a pre-trained RNN-T conformer model: [![Open
 Using Conformer as encoder. The decoder consists of 1 embedding layer
 and 1 convolutional layer.
 
-The best WER with beam search with beam size 4 is:
+The best WER using beam search with beam size 4 is:
 
 |     | test-clean | test-other |
 |-----|------------|------------|
diff --git a/egs/librispeech/ASR/transducer_stateless/decoder.py b/egs/librispeech/ASR/transducer_stateless/decoder.py
index 4b1ec6ee6..f49f8c90b 100644
--- a/egs/librispeech/ASR/transducer_stateless/decoder.py
+++ b/egs/librispeech/ASR/transducer_stateless/decoder.py
@@ -75,6 +75,9 @@ class Decoder(nn.Module):
         Args:
           y:
             A 2-D tensor of shape (N, U) with blank prepended.
+          need_pad:
+            True to left padding the input. Should be True during training.
+            False to not pad the input. Used only during inference.
         Returns:
           Return a tensor of shape (N, U, embedding_dim).
         """