diff --git a/docs/installation/installation.md b/docs/installation/installation.md
index 89000eca0..d020b51ff 100755
--- a/docs/installation/installation.md
+++ b/docs/installation/installation.md
@@ -34,9 +34,7 @@ Ref to [docs](https://docs.conda.io/en/latest/miniconda.html#windows-installers)
 ```sh
 pip install torch torchaudio
 ```
-
-For more details about torch, please see [https://pytorch.org/get-started/locally](https://pytorch.org/get-started/locally)
-
+If there exists CUDAs in your environments, you should install the pytorch with the version matching the CUDA. The matching list could be found in [docs](https://pytorch.org/get-started/previous-versions/).
 ### Install funasr
 
 #### Install from pip
diff --git a/docs/reference/papers.md b/docs/reference/papers.md
index 33bf72fb3..fc82fceb5 100644
--- a/docs/reference/papers.md
+++ b/docs/reference/papers.md
@@ -3,7 +3,8 @@
 FunASR have implemented the following paper code
 
 ### Speech Recognition
-- [Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition](https://arxiv.org/abs/2206.08317), INTERSPEECH 2022.
+- [FunASR: A Fundamental End-to-End Speech Recognition Toolkit](https://arxiv.org/abs/2305.11013), INTERSPEECH 2023
+- [Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition](https://arxiv.org/abs/2206.08317), INTERSPEECH 2022
 - [Universal ASR: Unifying Streaming and Non-Streaming ASR Using a Single Encoder-Decoder Model](https://arxiv.org/abs/2010.14099), arXiv preprint arXiv:2010.14099, 2020.
 - [San-m: Memory equipped self-attention for end-to-end speech recognition](https://arxiv.org/pdf/2006.01713), INTERSPEECH 2020
 - [Streaming Chunk-Aware Multihead Attention for Online End-to-End Speech Recognition](https://arxiv.org/abs/2006.01712), INTERSPEECH 2020