Update README.md

README.md

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 <p align="center">
-<b>🎬 Fun-CineForge: A Unified Dataset Pipeline and Model for Zero-Shot Movie Dubbing<br>
-in Diverse Cinematic Scenes</b>
+<b>🎬 Fun-CineForge: A Unified Dataset Pipeline and Model for Zero-Shot Movie Dubbing in Diverse Cinematic Scenes</b>
 </p>
 
-<div align="center">
+**Fun-CineForge** contains an end-to-end dataset pipeline for producing large-scale dubbing datasets and an MLLM-based dubbing model designed for diverse cinematic scenes. 
+Using this pipeline, we constructed the first large-scale Chinese television dubbing dataset CineDub-CN, which includes rich annotations and diverse scenes. 
+In monologue, narration, dialogue, and multi-speaker scenes, our dubbing model consistently outperforms state-of-the-art methods in terms of audio quality, lip-sync, timbre transition, and instruction following.
 
-![license](https://img.shields.io/github/license/modelscope/modelscope.svg)
-<a href=""><img src="https://img.shields.io/badge/OS-Linux-orange.svg"></a>
-<a href=""><img src="https://img.shields.io/badge/Python->=3.8-aff.svg"></a>
-<a href=""><img src="https://img.shields.io/badge/Pytorch->=2.1-blue"></a>
-</div>
-
-[Demos](https://funcineforge.github.io/); [Paper](https://arxiv.org/pdf/2601.14777); [Modelscope](https://www.modelscope.cn/models/FunAudioLLM/Fun-CineForge); [HuggingFace](https://huggingface.co/FunAudioLLM/Fun-CineForge)
-
-**Fun-CineForge** contains an end-to-end dataset pipeline for producing large-scale dubbing datasets and an MLLM-based dubbing model designed for diverse cinematic scenes. Using this pipeline, we constructed the first large-scale Chinese television dubbing dataset CineDub-CN, which includes rich annotations and diverse scenes. In monologue, narration, dialogue, and multi-speaker scenes, our dubbing model consistently outperforms state-of-the-art methods in terms of audio quality, lip-sync, timbre transition, and instruction following.
+You can access [https://funcineforge.github.io/](https://funcineforge.github.io/) to get our CineDub dataset samples and demo samples.