diff --git a/README.md b/README.md
index 941807c..8263978 100755
--- a/README.md
+++ b/README.md
@@ -11,7 +11,7 @@ It supports seven models, four features (video and audio features), and six data
 Furthermore, Lighthouse supports [audio moment retrieval](https://h-munakata.github.io/Language-based-Audio-Moment-Retrieval/), a task to identify relevant moments from an audio input based on a given text query.
 
 ## News
-- [2025/05/20] [Version 1.1]() has been released. It includes API changes and AMR gradio demo.
+- [2025/06/04] [Version 1.1](https://github.com/line/lighthouse/releases/tag/v1.1) has been released. It includes API changes, AMR gradio demo, and huggingface wrappers for the audio moment retrieval and clotho dataset.
 - [2024/12/24] Our work ["Language-based audio moment retrieval"](https://arxiv.org/abs/2409.15672) has been accepted at ICASSP 2025.
 - [2024/10/22] [Version 1.0](https://github.com/line/lighthouse/releases/tag/v1.0) has been released.
 - [2024/10/6] Our paper has been accepted at EMNLP2024, system demonstration track.
@@ -258,8 +258,8 @@ Then zip `hl_val_submission.jsonl` and `hl_test_submission.jsonl`, and submit it
 zip -r submission.zip val_submission.jsonl test_submission.jsonl
 ```
 
-## Wrapper for HuggingFace
-We start to support [wrappers for HuggingFace](https://huggingface.co/lighthouse-emnlp2024).
+## HuggingFace Wrapper
+We support [wrappers for HuggingFace](https://huggingface.co/lighthouse-emnlp2024).
 You can easily use models and dataset via `AutoModel` and `huggingface_hub`.
 
 The following models and datasets are provided by the wrapper for HuggingFace.