Update README.md

README.md

@@ -16,7 +16,7 @@ pipeline_tag: text-generation
 ## 📢 Note: Coming Soon!
 
 **ROME (ROME is Obviously an Agentic ModEl)** will be officially released soon. 
-The project is currently under final review and preparation. Model weights will be made publicly available shortly. *(The iFlow CLI has already been released.)*   Stay tuned!
+The project is currently under final review and preparation. Model weights will be made publicly available shortly. Stay tuned!
 
 <img src="https://rlhf.oss-cn-hangzhou.aliyuncs.com/iFLOW-ROME/performance.png" width="600"/>
 
@@ -27,9 +27,9 @@ The project is currently under final review and preparation. Model weights will
 
 ## Highlights
 
-**ROME** is an open-source **agentic foundation model** incubated within the **ALE (Agentic Learning Ecosystem)**.  
+**ROME** is an open-source **agentic model** incubated within the **ALE (Agentic Learning Ecosystem)**.  
 
-Rather than scaling performance purely by increasing parameter count, ROME achieves *parameter-scale–crossing agentic performance* through full-stack infrastructure and algorithmic optimization.
+Rather than scaling performance purely by increasing parameter count, ROME achieves parameter-scale–crossing agentic performance through full-stack infrastructure and RL algorithmic optimization.
 
 <img src="https://rlhf.oss-cn-hangzhou.aliyuncs.com/iFLOW-ROME/ALE.PNG" width="600"/>
 
@@ -77,7 +77,7 @@ Rather than scaling performance purely by increasing parameter count, ROME achie
 | **Model**                    | **Terminal-Bench 2.0** | **SWE-bench Verified** |
 | ---------------------------- | ---------------------- | ---------------------- |
 | Qwen3-Coder-30B-A3B-Instruct | 13.48%                 | 46.33%                 |
-| **ROME (30B-A3B)**           | **24.72%**             | **57.40%**             |
+| **ROME-30B-A3B**             | **24.72%**             | **57.40%**             |
 | GPT-OSS-120B                 | 21.12%                 | 43.93%                 |
 | GLM-4.5 Air (106B)           | 17.30%                 | 56.20%                 |
 
@@ -100,7 +100,7 @@ If you find our work useful, please consider citing:
 ```bibtex
 @article{rome2025ale,
   title={Let It Flow: Agentic Crafting on Rock and Roll - Building the ROME Model within an Open Agentic Learning Ecosystem},
-  author={ROME & ALE Team},
+  author={Wang, Weixun and Xu, XiaoXiao and An, Wanhe and Dai, Fangwen and others},
   journal={arXiv preprint arXiv:2512.24873},
   year={2025}
 }