Update README.md

Author: DD-DuDa

README.md

@@ -1,8 +1,7 @@
-# BitDecoding
-[![arXiv](https://img.shields.io/badge/arXiv-2410.13276-b31b1b.svg)](https://arxiv.org/abs/2503.18773)
+# BitLadder
 [![License](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE)
 
-BitDecoding is a high-performance, GPU-optimized system
+BitLadder is a high-performance, GPU-optimized system
 designed to accelerate long-context LLMs decoding with a low-bit KV
 cache. Achieve **3-9x speedup** than Flash Attention v2.
 ![overview](imgs/overview.png)
@@ -16,9 +15,9 @@ cache. Achieve **3-9x speedup** than Flash Attention v2.
 
 ## Installation
 ```
-git clone --recursive https://github.com/DD-DuDa/BitDecoding.git
-conda create -n bitdecode python=3.10
-conda activate bitdecode
+git clone --recursive https://github.com/DD-DuDa/BitLadder.git
+conda create -n bitladder python=3.10
+conda activate bitladder
 pip install -r requirements.txt
 python setup.py install
 ```
@@ -36,19 +35,6 @@ python setup.py install
     ```
 3. End2end inference example, please see [e2e](https://github.com/DD-DuDa/BitDecoding/tree/e2e)
 
-## Citation
-If you find BitDecoding useful or want to use in your projects, please kindly cite our paper:
-```
-@misc{du2025bitdecodingunlockingtensorcores,
-      title={BitDecoding: Unlocking Tensor Cores for Long-Context LLMs Decoding with Low-Bit KV Cache}, 
-      author={Dayou Du and Shijie Cao and Jianyi Cheng and Ting Cao and Mao Yang},
-      year={2025},
-      eprint={2503.18773},
-      archivePrefix={arXiv},
-      primaryClass={cs.AR},
-      url={https://arxiv.org/abs/2503.18773}, 
-}
-```
 
 ## Acknowledgement
 BitDecoding is inspired by many open-source libraries, including (but not limited to) [flash-attention](https://github.com/Dao-AILab/flash-attention/tree/main), [flute](https://github.com/HanGuo97/flute), [Atom](https://github.com/efeslab/Atom), [omniserve](https://github.com/mit-han-lab/omniserve), [KIVI](https://github.com/jy-yuan/KIVI).